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Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

Job type:

Full-time

• Leading a team of 60 staff to accurately manage and control the end-to-end data entry process and documentation across all areas within the CDC, including inbound supplier processing and the issuing of dispatch documentation.
• 1 Ensure data is accurately processed, and documentation is issued on time to the relevant stakeholders
• 2 Securely store, control and track physical and electronic data (electronic where possible) and data entry related documents, including invoices, manifests, POD s, etc ...
• 3 Audit data entry tasks across CDC to ensure the highest possible standards of accuracy
• 4 Implement data entry process mapping to continuously develop continuous improvement initiatives
• 5 Monitor, schedule and arrange data entry resources to match departmental workloads and times to ensure efficient use of data entry personal
• 6 Establish and implement data entry individual and team performance KPIs
• 7 Liaise with the operations management team to determine improvement opportunities across the data entry function
• 8 Liaise with WMS super users to ensure the WMS is utilized to the full potential
• 9 Lead your team to be the point of contact for suppliers and transporters, and that they are informed in a timely manner of information, developments and plans that affect their business
• 10 Ensure the continued professional development of your area of responsibility investigation team, to include the identification of suitable individuals in longer-term succession planning.
• Educated to degree level or of degree caliber
• Experience within a similar function with 5 years at a management level leading a large team, and having a track record of driving sustainable improvements.
• Capabilities and Competencies.
• Leading a large team within a fast moving, high volume and complex environment with a strong customer service and cost improvement bias
• Excellent leadership skills and a hands on inspirational management style, results-driven, communicative, highly numerate and financially astute
• Proficient with warehouse management systems
• Attention to detail with proven analytical troubleshooting and problem solution skills
• Good Command of English and PC Literate
• Highly proficient with Microsoft Excel, Word, Access programs
• Able to work flexible hours with an open minded and positive attitude
• Enjoy working as part of a committed, flexible team, and taking pride in everything you do.

Skills:

Python, SQL, Tableau

Job type:

Full-time

• Understanding of business problems for gathering/analyzing/designing the data to solve the problems from end-to-end process.
• Excellent in written and verbal communication skills for coordinating across teams.
• Analyze large amounts of information to discover trends and patterns.
• Can lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results.
• Proficient in common data science toolkits (R, Python) and using SQL languages.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• At least 1 year of experience with Data Analysis in using statistical language - Python, R.
• Good in applied statistics, mathematics, operation research and computer science.

Skills:

ETL, Python, Hadoop

Job type:

Full-time

• Excellent with database or data warehouse or ETL tools (Extract Transform and Load) technique and framework.
• Proficient in programming languages, Python and Spark for data engineering.
• Experience using data frameworks, Hadoop platform, Spark for big data processing and Kafka.
• Knowledge and skills in using Apache Hadoop, Cloudera and Azure Cloud,.
• Understanding of big data and cloud architecture.
• Ability to work with data scientist in advanced analytics for preparing or discovering business insights on focus the business strategies.
• At least 1-5 years experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.
• Soft skill in analytical, decision making, communication and presentation skill.

Skills:

Data Analysis, Finance, Accounting

Job type:

Full-time

• Identify opportunities for process improvement and propose innovative solutions.
• Collaborate with stakeholders to define business requirements and translate them into functional specifications.
• Conduct data analysis to identify trends and insights that drive business decisions.
• Facilitate workshops and meetings to gather requirements and ensure alignment.
• Develop and maintain process documentation and standard operating procedures.
• Job Qualifications:
• Bachelor s degree in Finance, Accounting, Business Administration, or a related field with a minimum of 4 years of experience in Finance related roles.
• Background or experience in Risk (Enterprise/Financial) and Data is a PLUS.
• Proven track record of success in analyzing financial performance, developing financial strategies, and enhancing enterprise value.
• Strong understanding of financial principles, accounting standards, financial modeling techniques, and digital finance solutions (FinTech, Cloud ERP).
• Excellent analytical and problem-solving skills.
• Background with process transition, knowledge transfer, process reengineering, and shared services operating model design and implementation.

Skills:

Research, Tableau, Excel

Job type:

Full-time

• Produce and distribute a daily, weekly and monthly marketing performance dashboard and provide insights or recommendations.
• Monitor and forecast marketing and sales trends.
• Analyze marketing performance to evaluate the effectiveness of campaigns, understand strengths and weaknesses, and offer actionable insights for Financial, Retail, and Payment Services team. Identify strengths and gaps, and provide actionable recommendations to enhance future campaigns.
• Develop and support marketing plans aimed at driving growth in retail services, including sales, transactions, retail income,
• and customer loyalty.
• Work closely with Service/Product owners to design Campaigns and modify KPIs as well as boost new sales and
• transaction growth of NSD Services.
• Customer insight and research, review of competitors and market trend.
• Work with IT to develop Business Intelligent tool and database to support New Service Development Division.
• Campaigns pre and post-performance evaluation, analysis and KPI review reporting.
• Do data cleansing of many sources of data /report consolidation before doing analysis.
• Training a team to effectively use Tableau or other reporting tools, enhancing their ability to make data-driven decisions
• and contribute to business growth.
• Job Qualifications:
• Bachelor s or Master s Degree in Business Administration (Marketing) or related field.
• at least 3-5 years in Promotion campaign performance evaluation / Customer Behavior Analysis preferable with experience in Retail business.
• Have Marketing Information System on customer database management is a plus.
• Have experience in Marketing and promotional campaign planning preferable with Retailer marketing experience.
• Should have strong analytical skills and advance skills in Microsoft Excel, Access or BI tool such as Tableau background.
• Have Experience working collaborative environment.
• Drive to success and interpersonal skills.
• Be able to handle multi-tasks/projects.
• Can Work under pressure and meeting time line.

Skills:

Python, PHP, Network Programming, English

Job type:

Full-time

• Understand customers complaint, try to find out the root causes by using problem solving skill.
• Propose the new workflow / automatic tool to reduce customers complaint.
• Develop the solution to improve the quality of all fixed broadband services
• Propose new monitoring tool to meet customers' satisfaction (included reporting tool).
• Bachelor or Master degree in IT / COMPUTER ENGINEER
• Minimum of 0-5 years Working experience in Telecommunication company, especially in fixed broadband technology
• Experience in Customer support, Network implementation and Network Quality control
• Experience and knowledge in Unix shell script, Python, Unix shell script, Python, PHP, C#.

Skills:

Teamwork, Excel, SQL, English

Job type:

Full-time

• Providing support in relation to business user, data product enhancements and new developments by understanding business requirements.
• Translate business requirements/ problems into BI or data analytics solutions.
• Evaluate business processes, anticipate requirements, uncover or advise areas for business improvement, and implement BI solutions establish performance reporting and management information requirements with the team.
• Analyze performance and collate plans from the Leadership team to support the delivery of the long term plan.
• Consolidating data for reporting and dashboard data updates. And identify patterns and trends in data sets, define new data collection and analysis processes.
• Developing and analytic reports to solve business problems and recommendations based on relevant data to the relevant members of the business. Provide in-sight analysis of financial performance to Financial.
• Leadership teams to improve financial performance and manage our investment.
• Promote strong teamwork within unit, cross-functional teamwork to drive business growth, and process efficiency.
• Deliver ad-hoc analysis and special projects as requested.
• Knowledge of Strong PowerBI, with expertise in DAX and Advance Excel, SQL or Python language is a plus.
• Experience using business intelligence tools (e.g., Power BI).
• Familiarity with ETL processes.
• A demonstrated ability to perform in-depth financial analysis.
• Firm understanding of statistics and databases.
• Expert problem-solving and analytical skills.
• Strong communication skills.
• Ability to work in a fast-paced, deadline-driven environment.
• Collaborative mindset.
• Good English proficiency at reading, writing and speaking.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Skills:

Microsoft Office, Excel

Job type:

Full-time

• Control process of supplied and item registration in System are ready for business and measure and monitor all data entered to ensure efficient, accuracy within timeline.
• Ability to develop or simplify workflow process, tools, IM form plus analysis and present/suggest to business improvement basic process and how to use IM Form to buyers for basis requirement to set up in System.
• Coaching and planning direction to team members on efficient, timely completion of t ...
• Providing support for solving daily problems or emergency issues including new business requirements.
• Job Qualifications:
• Bachelor degree of Computer Science, Data Science, Supply Chain Management or Relate filed.
• Have experience 7-10 Years of Data Management, Data Analytics, Data Maintenance,.
• At least 5 years experience in Retails or Wholesale Business.
• Have experience in Item Maintenance, SRD (Space Range Design) would be advantage.
• Strong leadership skills.
• Good analytical & logical thinking, planning, coordination and service minded.
• Proficient in Microsoft Office tools, ** Advanced MS Excel and MS
• Access (VBA) will be advantage **.

Skills:

Data Analysis, Financial Analysis, English

Job type:

Full-time

• ฝ่าย Digital Banking Regulations and Compliance Review.
• ออกแบบ/พัฒนาและประยุกต์ใช้เทคโนโลยีสำหรับสนับสนุนการกำกับดูแลการปฏิบัติตามกฎเกณฑ์ เช่น.
• พัฒนา rule-base และประยุกต์ใช้เทคโนยีการติดตามและสอบทานด้านปฏิบัติตามกฎเกณฑ์.
• การออกแบบและพัฒนา Automated Schedule Tasked.
• ออกและพัฒนารูปแบบรายงาน Dashboard โดยใช้ BI Tools สําหรับเทคนิคขั้นสูงที่รองรับ drilldown ข้อมูลแสดง รายละเอียดข้อมูลเชิงลึกจากรายงาน / dashboard ได้.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง เช่น ประสานงานกับทีมงาน Compliance ทีม IT เพื่อเก็บ Requirements และนําไปพัฒนา Projects.
• ศึกษาเทคโนโลยีใหม่ๆ เช่น Machine Learning, AI, Google Cloud สําหรับการนำมาใช้ในงาน Compliance Data Analytics ให้มีประสิทธิภาพยิ่งขึ้น.
• งานอื่นๆ ตามที่ได้รับมอบหมาย.
• ด้านการศึกษา.
• Bachelor s or Master s Degree in Computer Science, Business Management, Project Management, IT, Data Management, Mathematics, Statistic, or related fields.
• ด้านความรู้ ประสบการณ์และทักษะที่จําเป็นสําหรับการปฏิบัติงาน มีความรู้ความสามารถเชิงเทคนิค เกี่ยวกับโปรแกรม / เครื่องมือต่อไปนี้.
• SQL Programming and Business Intelligence Tool (ระดับ Advanced).
• Google Sheets Formula, Google App script, Google web app.
• RPA, Blue Prism.
• Python (for Machine Learning, Neural Network, Automated work).
• สามารถปฏิบัติงานเป็นทีมและทํางานภายใต้ความกดดันได้ มีทักษะการสื่อสาร การนําเสนอในรูปแบบ Presentation พร้อมเรียนรู้ประสบการณ์ใหม่ๆ ด้าน Compliance Data Analytics.

Skills:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field;.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus;.
• Experience in any ETL, data mart, data warehouse, data modeling design;.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus;.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications;.
• Strong problem-solving skills;.
• A drive to learn;.
• A good command of the English language;.
• Preferably experience and skills in project management;.
• Preferably a knowledge of or a background in the oil & gas industry.

Experience:

3 years required

Skills:

Data Analysis, Database Development, English

Job type:

Full-time

• Brainstorm with Business User and Data Analyst to propose practical AI/ML solution for solving business problems.
• Translate problem statement into requirements and action plans.
• Adopt agile development approach to deliver prompt solutions phase by phase.
• Conduct EDA and feature engineering from both raw and aggregate data sources.
• Maintain, enrich, and expand AI ready data.
• Develop quantitative AI/ML models to solve estimation, prediction, or optimization problems.
• Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations.
• Design complete AI score validation framework throughout the ML life cycle.
• Measure model performance and monitor feature shifting in production environment.
• Build AI/ML-related dashboards, including model monitoring and feature monitoring.
• Work with ML Engineers or Data Engineers to optimize end-to-end ML operations.
• Collaborate with Data Analysts to perform pre- and post-model usage campaign analysis or Dashboard.
• Present project and collaborate with Business User to design action strategy.
• Job Qualifications:
• Minimum of 3 years of data field working experiences and at least 1-year hands-on modeling experiences.
• Strong English skill as working language.
• Proficient in Python, SQL, Excel.
• Good at Visualization tool such as Tableau, and Powerpoint.
• Strong analytical thinking and creative thinking.
• Good at communication skill, teamwork.
• Independently work on end-to-end ML process.
• Solid record of successful model development with business impact in production.
• Preferred Past Experiences or Knowledge (any of the followings):
• Fintech, big tech or banking industry.
• Real time AI/ML model deployment experiences.
• Cloud computing.
• Gen AI knowledge and experiences.

Experience:

5 years required

Skills:

Compliance, Budgeting, English

Job type:

Full-time

• Support the Head of Compliance in defining and enacting (e.g. Annual Plan) the strategy and Target Operating Model (TOM) around Privacy.
• Support ongoing management reporting and related tasks for the Privacy team including Budgeting, Collating and reporting KPIs. Collecting of information for management/Group/Committee reporting including KRI, Validating progress against the defined strategy.
• Future planning, oversee to maintain, or provide support in the maintenance of the p ...
• Review Privacy Impact Assessment (PIAs), Third-Party assessment and Data Sharing/Processing Agreement provide comment and support to the business to define remedial actions.
• Oversee to provide support, as required, in handling requests from regulators, individuals, authorities and complainants.
• Escalate and supporting the Head of Compliance for information related to incidents and breaches to further report to the management and regulator as required.
• Set up and participate as a facilitator for the Privacy forums including build Privacy awareness throughout trainings or communications.
• Act as Data Privacy representative to participant any meeting required.
• Baseline Qualifications:
• Bachelor or Master s degree in Law or related fields.
• Minimum 5 years' experience in Compliance or related fields.
• Strong knowledge in Data Privacy would be advantage.
• Life insurance business experience is a plus.
• Able to translate compliance obligation into practical solutions for the businesses.
• Certified CIPM or related certification is an advantage.
• Good command in English both verbal and written.
• Proactive, Open, Caring, Committed, Innovative.

Experience:

3 years required

Skills:

Industrial Engineering, Data Analysis, Project Management, English

Job type:

Full-time

• Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
• Plan and develop report / presentation to support project for trial and roll out.
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
• Train end users on new reports and dashboards to continually drive efficiencies.
• Ability to present information to stakeholders and provide initial consultation / solution.
• 3-5 years+ working experience in Data Analytics, Process Improvement.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Six Sigma Green Belt certification preferred.

Experience:

1 year required

Skills:

Big Data, ETL, Power BI

Job type:

Full-time

• Excellent with database or data warehouse or ETL tools (Extract Transform and Load) technique and framework.
• Proficient in programming languages, Python for data engineering.
• Experience using data frameworks, Hadoop Platform, Spark for big data processing and Kafka.
• Knowledge and skills in using Cloudera, SQL.
• Ability to design the shell script.
• Understating of big data architecture.
• Ability to work with Data Scientist in Advanced Analytics for preparing or discovering business insights on focus the business strategies.
• Minimum Experience 1-3 years experience in data analysis, data preparation or system administration.
• Have an experience of unstructured data for Business Intelligence or computer science would be advantage.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

Experience:

2 years required

Skills:

Data Analysis, Power BI, Excel, English

Job type:

Full-time

• วิเคราะห์ข้อมูลยอดขาย ผลการดำเนินงาน เปรียบเทียบเป้าหมาย.
• วิเคราะห์ข้อมูลกิจกรรมส่งเสริมการขาย และสรุปรวบรวมผลการจัดกิจกรรมเสนอผู้บริหาร.
• วิเคราะห์ข้อมูลการตลาด อัตราการการเติบโต,ราคา,อายุสินค้า,การกระจาย, การจัดเรียง,การซื้อซ้ำ โดยรวบรวมรายงานทั้งข้อมูลบริษัทและข้อมูลคู่แข่ง ฯลฯ.
• ร่วมจัดทำงบประมาณประจำปี (ยอดขายและกิจกรรมส่งเสริมการขาย).
• ตรวจสอบการจัดทำเงินจูงใจ คอมมิชชั่น รวมถึงผลตอบแทนกิจกรรมส่งเสริมการขาย และนำเสนอผู้บริหาร.
• รวบรวมข้อมูลยอดขายและกิจกรรมส่งเสริมการขาย สินค้าออกใหม่.
• สรุปรวบรวมประมาณการขาย.
• ควบคุมการค่าใช้จ่ายส่งเสริมการขาย เปรียบเทียบงบประมาณ.
• ร่วมวางแผน ปรับปรุงระบบการทำงานกับทีมขายและสนับสนุนการขายที่เกี่ยวข้อง พัฒนารูปแบบรายงานต่างๆให้เป็นมาตรฐานเดียวกันทั่วประเทศ.
• สรุปนโยบายการขาย/กิจกรรมส่งเสริมการขาย และแนวปฏิบัติ ให้ทีมงานที่เกี่ยวข้องปฏิบัติเป็นแนวทางเดียวกัน.
• ดูแลสื่อส่งเสริมการขาย POP-POS พร้อมกับติดตามการจัดการและการนำไปใช้งานให้เกิดประโยชน์อย่างคุ้มค่า.
• จัดทำฐานข้อมูลData ในระบบต่างๆ ของบริษัทให้ถูกต้องครบถ้วน ให้เป็นปัจจุบัน.
• ดูแลการตรวจสอบฐานข้อมูลร้านค้า.
• อื่นๆที่ได้รับมอบหมาย.
• ปริญญาตรี/โท สถิติประยุกต์ ด้านบัญชี การเงิน บริหารธุรกิจ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ด้านงานวิเคราะห์ หรือบัญชีบริหารอย่างน้อย 2-5 ปี.
• มีความรู้ในธุรกิจ Fast Moving Consumer Goods (FMCG).
• มีทักษะทางด้านการใช้MS Officeโดยเฉพาะ Excel ขั้นสูง Power Point, Power BI, SQL, Python.

Experience:

3 years required

Skills:

Business Development, Scrum, Management

Job type:

Full-time

• Good track record in leveraging on Databricks and/or Snowflake in major projects.
• Existing experience in other platforms (i.e. Cloudera, Informatica etc.) will be idea.
• Understanding of Data & AI as well as cloud service offerings with relevant implementation experience.
• Prior Experience of bid and delivery solutioning.
• Worked on implementation/proposals as a Solution Architect responsible for designing solutions end to end.
• Prior business development experience (at least 3-4 years, overall, 10-14 years).
• Ability to understand Methodologies (Activate, Agile, SDLC, SCRUM) and other industry business fundamentals and ability to showcase a quick learning curve.
• Functional.
• Strong verbal and written communication with out of box thinking abilities.
• Responsibilities include but are not limited to:
• Demonstrate deep knowledge of solutions and appropriate industries to maintain credibility with prospective customers. Provide proof points with relevant customer stories.
• Engage clients in understanding their requirements, scoping, discovering and defining solutions, articulating business benefits and use cases and a roadmap to meet their goals.
• Create innovative solutions that utilize our extensive service offerings.
• Understand client requirements (RFx/shaping), build synopsis and have an ability to articulate the customer ask.
• Support completion of customer proposals.
• Support the Data & AI implementation project and play the solution architect role; binding the entire solution to meet client requirements.
• Provide guidance & support for architecting & planning the implementation of Data & AI platforms for clients.
• Participation in meetings with internal/external stakeholders (Delivery managers, Account managers, client partners, delivery teams) and ecosystem partners for Data & AI.

Job type:

Full-time

• Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song all powered by the world s largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for o ...
• Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information.
• ABAP resource with master data experience.
• You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
• Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Experience:

5 years required

Skills:

SQL, Data Analysis, Thai

Job type:

Full-time

• As a Senior Data Engineer, you will be responsible for Analyzing, Validating data sources, Extracting, Loading, Transforming and orchestrating to build data solutions at client scale. You will provide support for data solutions and data architecture to provide the best data outcome for our client use case.
• You will have to bring expertise in strategy to handle data quality, data integrity and play consultant in the product team or with clients. You will work closely with various teams across the organization and with various clients in a variety of indus ...
• Drive and consult our client to ensure it will have the right solution to solve its use cases.
• Understand, Analyze, collect and analyze a large set of data sources from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definition against the available data source.
• Design and implement data solutions with its orchestration.
• Fine-tune Data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Solution design document.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory. (GDPR, PDPA, HIPAA).
• Support the technical architecture part of pre-sales proposal.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain processes to ensure best practice to deliver a clean and compliant data pipeline.
• Enable SevenPeaks into data by mentoring newbie in data engineering.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• 5+ years of relevant experience in data engineering.
• Experience API call, SQL, Python, SparkPY experience to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Synapse, Redshift, PosGres.
• Be able to develop downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have:
• Fluency in Thai language.
• Certified and experienced in Databricks.
• Any certification in AWS, GPC or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in ML/AI project related.
• Worked in more than one projects and with various tech stacks.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow ).
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• 10 (15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health & Life insurance.
• Free Lunch every Wednesday.
• Provident Fund.
• Learning Support.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station, with easy access to the highway.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

Experience:

3 years required

Skills:

Big Data, Data Warehousing, English

Job type:

Full-time

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".