เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Big Data, Cloud Computing, Kafka, Docker, Kubernetes

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand (Hybrid).
• Workplace: hybrid.
• We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions.
• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Bachelor's or Master's degree in.
• Computer Science, Engineering., or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in.
• SQL.
• and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power Bl).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Additional.
• Preferred.
• Experience with stream processing technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and Al technologies.
• Familiarity with data governance and compliance requirements.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Contributions to open-source projects or relevant certifications.
• Experience in Azure big data platform (ADF, Databrick).
• Experience in PowerBl.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/72AC50884D/apply).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Leadership Skill, Big Data, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4-8 years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ทักษะ:

Analytical Thinking, Product Development, Architecture, Javascript, TypeScript

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third party tools and logs.
• Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
• Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
• Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
• Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high volume CEG data (calls, chats, emails, cases, events).
• Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).
• Data Tools & Product Development.
• Design and build data tools and internal products for CEG (e.g., self service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
• Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
• Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
• Apply solid software engineering practices - testing, code reviews, CI/CD, observability - to data products so they are reliable, maintainable, and easy to extend.
• At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.
• Data Analytics & Business Impact.
• Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
• Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self service access to data.
• Perform deep dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data driven recommendations.
• Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
• Communicate findings in simple, business friendly language, including clear implications and recommended next steps.
• Stakeholder & Team Collaboration.
• Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
• Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
• Mentor junior and mid level team members on data engineering, analytics, and software engineering best practices.
• Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
• At Staff level, influence cross team architecture and ways of working, making sure CEG's data ecosystem scales with business growth.
• Required.
• 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data driven environment (Staff level typically 10+ or equivalent scope/impact).
• Strong SQL skills (complex joins, window functions, aggregation, query optimization).
• Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
• Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
• Experience building production grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
• Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
• Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
• Ability to communicate complex topics in simple, concise language to non technical stakeholders.
• Preferred.
• Experience with event driven data (logs, clickstream, customer journey, contact flows, tracking data).
• Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
• Experience with A/B testing, experimentation platforms, or causal analysis.
• Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
• Experience in online consumer products, travel, e commerce, or marketplaces.
• Hands on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
• Prior experience in a Staff or Tech Lead role, driving technical direction and mentoring multiple engineers/analysts.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Recruitment, Leadership Skill, Big Data, Tableau

ประเภทงาน:

งานประจำ

• Act as a partner and consultant to engineering managers and leaders: translate stakeholder and engineering questions into measurable metrics/information such as developer velocity, cost efficiency, and code quality, and keep those definitions consistent across reports.
• Design, build, and maintain ETL/ELT transformations, including Spark/Python workflows and warehouse models, so data is accurate, timely, tested, and fit for reporting. As a Senior, review others' pipeline and metric work, raise delivery standards, and ...
• Analyze large datasets with SQL and Python to support engineering and operational decisions.
• Design and maintain dashboards and visual reports so engineering managers and leaders can explore metrics (for example developer velocity, cost efficiency, and code quality) without a ticket for every chart.
• Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning. Own published metrics: explain filters and grain, flag numbers that should not be trusted, and recommend next steps.
• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL development, testing, refactoring, analysis, pipeline work, and documentation, and reject unsafe or unverified output before it reaches production or stakeholders.
• WHAT YOU'LL NEED TO SUCCEED.
• 5+ years in business intelligence, analytics, and/or data engineering, with experience in both stakeholder consulting and hands-on pipeline or data-product work.
• Advanced SQL (joins, window functions, and performance on large datasets).
• Strong Python skills (or similar) for building data pipelines.
• Experience with ETL/ELT and orchestration (for example Kubeflow or similar).
• Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
• Experience building dashboards or visual reports for stakeholders.
• Ability to switch context between stakeholder discussions and hands-on technical work - metrics definition/analysis one day, ETL or data modeling the next.
• Practical AI-assisted development: generate, review, test, and own the result. You can explain what you trusted AI to draft and what you verified yourself.
• Clear written and verbal English, and the ability to work independently with engineers and leaders in an agile environment.
• IT'S GREAT IF YOU HAVE.
• Experience with software-delivery practices such as Agile/Scrum and CI/CD (GitHub Actions, GitLab CI, or similar).
• Interest in developer productivity or engineering analytics.
• Experience with common data platforms / big data technology (e.g., BigQuery,.
• Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Hands-on experience with visualization or data-serving UIs such as Apache.
• Superset, Tableau, or a lightweight web app.
• Experience building APIs or internal data products beyond dashboards, not only ad- hoc analysis.
• A degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Recruitment, Kubernetes, Assurance, Big Data, Docker

ประเภทงาน:

ฝึกงาน

• Manipulate data from different sources.
• Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
• Implement ETL process.
• Monitor performance and advise any necessary infrastructure changes.
• Work within a team supporting software & data system development, training and integration & test infrastructure.
• Identify and solve business challenges utilizing large structured and unstructured data from different sources.
• Get hands-on experience with tech industry real use cases, pertaining to data engineering for AI/ML and an opportunity to present your work to the whole engineering department.
• Get involved in great discussions in the data world with an international team.
• Get hands-on experience with Containerization technologies in the industry like Docker and Kubernetes.
• Currently studying for a Bachelor's Degree in Computer Science or any related fields.
• Knowledge of SQL database maintenance and Python.
• Basic knowledge of containerization technologies and Docker.
• Basic knowledge of big data technologies such as Spark, Hadoop, or Hive.
• Good communications skills; ability to work independently or in a team environment.
• Interested in public cloud technologies.
• Able to quickly learn new technologies.
• This is your chance to build your career in a growing data-driven and AI industry.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

ทักษะ:

Big Data, Hadoop, Python, Kafka, Scala

ประเภทงาน:

งานประจำ

• Work closely with the team of engineers, strategists and data scientists to build customer-facing products to address business problems.
• Build state-of-the-art data infrastructure to unlock full potential of ABACUS digital' data analytics capabilities. This includes, but not limited to, data integration (from both internal and external sources), large-scale data pipelines, data workflow management, and ML/AI real-time inference service.
• Implement an experimentation platform that enables the team to conduct online experi ...
• looking for.
• BS/MS degree in Computer Engineering, Computer Science, or a related field.
• Fresh grads are welcome! But having a full-time experience in tech or related industry is a plus.
• Proficiency with at least one of these programming languages: Java, Scala, Python, any other OOP languages, or other functional languages.
• Interested in building and troubleshooting large-scale distributed products.
• Interested in big data technologies such as Hadoop, Hive, Avro, Parquet, Presto, Spark, or Kafka is highly desired.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, Power BI, Python, English

ประเภทงาน:

งานประจำ

• Collaborate with stakeholders to understand business needs and objectives, and translate them into clear technical specifications.
• Design and develop scripts on the HUE Cloudera based on defined requirements, conduct UAT with users to validate functionality, and execute deployment into the production environment.
• Collect, analyze, and interpret large datasets using tools such as Power BI, Hue, Impala, and Hive. Develop and maintain dashboards and visualizations to support busine ...
• Design and implement data models and algorithms to identify trends, patterns, and insights. Optimize data processes and workflows to enhance productivity and efficiency.
• Perform regular audits and validation checks to maintain data integrity and accuracy.
• Provide ad-hoc data analysis and reporting as needed. Design and implement key metrics to create comprehensive Power BI dashboards for monitoring performance, identifying risks, and improving SLA.
• Maintain and improve SQL queries and Power BI dashboards to ensure seamless decision-making for management and operations teams.
• Stay up-to-date with industry trends and best practices in data analytics.
• Job Qualifications.
• Bachelor's or higher degree degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Minimum of 5 years of experience in the banking sector.
• Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel.
• Experience with data visualization tools like Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities with internal and external parties.
• Attention to detail and a commitment to data accuracy.
• Proven ability to coordinate effectively with project teams and various business units.
• Strong knowledge of banking systems.
• Proficient in spoken and written English.
• Demonstrated ability to manage and complete tasks within SLA and assigned timelines.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• Remark:The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• AdditionalRequirements.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Python, Docker, English

ประเภทงาน:

งานประจำ

• We are Thailand's leading provider of On-Demand Services (ODS), Merchant Digital Solutions(MDS), and Payment and Financial Services (PFS). We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for a passionate.
• Data Platform Engineer with a strong software engineering skill to design and manage the development of scalable and reliable data platforms. You will help expand our data platform and enable our product engineering teams and data scientists to enrich the product experience. You'll be working in a fast-paced environment, intensive data users, tackling challenges that impact millions of people on our journey to becoming the No.1 delivery platform in Thailand.
• Define, i mplement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
• Develop data models and architecture for end-to-end data pipelines both streaming and batch.
• Optimize and scale our data platform product across multiple teams in LMWN.
• Enable and support data engineers to optimize and improve ETL process by providing monitoring and tracking system.
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 1+ years of software engineering experience.
• Strong programming skills (Python and/or Java preferred).
• Strong software engineering skills such as Data Structure and Algorithm and System Design.
• Experience with distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, HDFS, Presto, Druid/Imply.
• Experience with data infrastructure components including Kubernetes and Docker.
• Experience with DevOps practices, CI/CD, monitoring, system logging,and SRE mindset.
• Proficient in English and Thai language skills.
• Based in or close to Thailand, or willing to relocate.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Problem Solving, Automation, Leadership Skill, Teamwork

ประเภทงาน:

งานประจำ

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
• Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
• Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
• Demonstrated experience across a broad range of industries such as Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, Telecommunications or Consumer Business.
• Ability to link industry specific business requirements to BI, Analytics and Big Data solutions.
• Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
• Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
• Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams' work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Experience in Big 4 or MNC Consulting firm or industry equivalent role.
• Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
• Strong experience in one or more of the following programming languages: Scala, Python, or R.
• Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
• Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
• Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
• Experience in cloud Data Engineering.
• Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
• Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
• General knowledge of Linux/Unix based operating systems and Shell scripting.
• Experience directly interfacing with business and IT stakeholders for clients.
• Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
• Drive, tenacity, client focused and results oriented.
• Excellent communication and presentation skills in English.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

ทักษะ:

Good Communication Skills, Power BI, Tableau, Python, English

ประเภทงาน:

งานประจำ

• Take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions.
• Contribute to analytics-wide frameworks and integrate operations/marketing workflows into established data solutions.
• Collaborate with direct stakeholders and adjacent cross-functional teams to align data initiatives with operational goals.
• Communicate analytical solutions to mid-to-senior level partners, providing data-backed rationale to support decision-making.
• Explore and propose workable, optimal solutions to challenges considering technical and operational constraints.
• Proactively address blockers within the team to keep projects moving forward.
• Mentor junior analysts by sharing technical best practices, guiding problem-solving approaches, and helping them develop their analytical capabilities.
• Consistently seek out opportunities to improve personal technical skills and upgrade internal team processes and frameworks.
• What Essential Skills You Will Need.
• 4 years+ of analytical experience conjugated with business acumen, preferably in the e-commerce or the Internet industry.
• Bachelor's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.
• Advanced experienced of analytical tools such as Excel (VBA, Pivot), database querying (SQL, Presto, Hive), visualisation and reporting tools (Tableau, PowerBI, Holistics).
• Advanced experience of programming languages (Python, R).
• Strong ability to work with complex data sets.
• Good communication skills to translate analytics specificities for all audiences.
• Full professional working proficiency in English is required, on top of fluency in Thai.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

ทักษะ:

Big Data

ประเภทงาน:

ฝึกงาน

• Part of 10-12 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and advanced analytics platforms at SeaGate.
• Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances, Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME).
• Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders.
• Design, scale and deploy Machine Learning pipelines.
• Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure.
• Establish and maintain productive relationships with peer organizations, partners, and software vendors.
• Excellent coding skills in any language with deep desire to learn new skills and technologies.
• You're a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics.
• As a motivated self-starter, you have the experience working in a dynamic environment.
• Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark.
• Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.
• Excellent interpersonal skills to develop relationships with different teams and peers in the organization.
• Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR.
• Big data solutions on cloud (AWS or Other).
• Advanced experience and hands-on architecture and administration experience on big data platforms.
• Data Warehouse Appliances, Hadoop (AWS EMR), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME ).
• Python, Java, Scala.
• DevOps, Continuous Delivery, and Agile development.
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers.
• Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus.
• Experience working in a Software Product Development environment is a BIG plus.
• Located in the high technology district, our site in Wuxi is a global manufacturing hub, where nearly 5,000 employees deliver technical services, customer test, manufacturing, and support capabilities. On site you can grab breakfast, lunch, dinner and snacks at our canteen, grab-and-go market and coffee shop. We offer basketball, badminton, yoga clubs and group exercise classes. We also have music, dance, photography, and literature clubs galore, along with an active Toastmasters International chapter, and frequently have on-site festivals, celebrations and community volunteer opportunities.
• Location: Wuxi, China.
• Travel: None.