เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• 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.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Assist in developing and maintaining data pipelines and ETL processes under guidance.
• Support workflow scheduling and monitoring using Apache Airflow.
• Work with large datasets using tools such as Apache Spark (training or hands-on exposure).
• Assist in developing backend/data services using Python or C# (.NET/.NET Core).
• Support database operations and basic optimization for MS SQL, PostgreSQL, or MySQL.
• Work with object storage solutions such as MinIO or similar platforms.
• Collaborate with data analysts and engineers to support data requirements.
• Help ensure data quality, integrity, and basic security practices across data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 1 - 2 years of experience as a Data Engineer or similar role.
• Basic proficiency in Python or C# (.NET/.NET Core).
• Familiarity with SQL and relational databases (MS SQL, PostgreSQL, MySQL).
• Familiarity with ClickHouse or other columnar databases is a plus.
• Exposure to Apache Airflow, Apache Spark, or similar tools is a plus.
• Understanding of basic ETL concepts and data processing workflows.
• Familiarity with object storage (e.g., MinIO) is a plus.
• Basic understanding of data warehousing or data modeling concepts.
• Strong willingness to learn, problem-solving mindset, and attention to detail.
• Good communication skills and ability to work in a team environment.
• Fluent in Thai with good command of English.

ประสบการณ์:

2 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Your missions
• Develop and maintain data ingestion pipelines from multiple data sources
• Support the design and execution of ETL/ELT processes
• Assist in building and optimizing data models and datasets
• Work with cloud-based data platforms (AWS, Azure, or GCP)
• Ensure data quality, consistency, and integrity across systems
• Monitor data pipelines and troubleshoot data-related issues
• Collaborate with data engineers, analysts, and business stakeholders
• Contribute to documentation and best practices for data processes
• Your profile
• 0-2 years of experience in Data Engineering, Data Analytics, or related field
• Basic understanding of ETL processes and data pipelines
• Knowledge of SQL and relational databases
• Familiarity with Python or other scripting languages is a plus
• Exposure to cloud platforms (AWS, Azure, or GCP) is an advantage
• Strong analytical and problem-solving skills
• Proactive mindset with willingness to learn and grow
• Good communication skills in English
• What we offer
• Opportunity to work on real-world data projects with international clients
• Exposure to modern data technologies and cloud environments
• Continuous learning through training and mentoring
• A dynamic, collaborative, and multicultural work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

ETL, Automation, Scrum, English

ประเภทงาน:

งานประจำ

• Lead and strengthen a team of data analysts - fostering high performance, collaboration, and professional development.
• Own the data product - oversee the design, development, and maintenance of dashboards, data models, and reporting frameworks that provide visibility into IT assets and infrastructure.
• Build scalable data solutions - drive the implementation of ETL pipelines, automation, and data integrity practices.
• Partner with stakeholders - collaborate with Architecture, Engineering, and Operations to translate business requirements into actionable analytics and visualizations.
• Champion data governance - define and promote data quality standards, ensuring trustworthy, consistent data across the platform.
• Enable strategic outcomes - support initiatives such as infrastructure transformation, cyber risk analysis, and technology lifecycle planning with data-backed insights.
• Run agile delivery - apply agile methodologies and serve as Scrum Master to keep sprint goals on track.
• What You'll Bring.
• 8+ years in data analysis, business intelligence, or a related field.
• 3+ years leading data or analytics teams, ideally within technology or infrastructure domains.
• Strong hands-on experience with Power BI, Snowflake, SQL, and Python.
• Solid understanding of ETL processes, data warehousing, and database management.
• Familiarity with REST APIs and scripting for data automation.
• Experience overseeing CI/CD pipeline implementation and maintenance.
• Excellent English communication and stakeholder management - comfortable presenting to both technical and non-technical audiences.
• Strategic thinker who can balance operational delivery with long-term data capability building.
• A degree in IT, Computer Science, Technical Business Analysis or equivalent practical experience is welcomed, but not a barrier to applying.
• Bonus Skills.
• Broad awareness of IT infrastructure; compute, storage, operating systems, private/public cloud, and technology lifecycle.
• Experience with low-code/no-code platforms such as Power Apps, Power Automate or Retool.
• Background in UI/UX principles to guide dashboard and product design decisions.
• Why Join Us.
• Lead a purpose-driven team with real ownership and visibility.
• Access to professional development, mentoring, and career progression pathways.
• Flexible, hybrid working arrangements.
• The Infrastructure Platform Engineering (IPE) organisation is accountable for the engineering, automation, and operational reliability of Group Engineering s core infrastructure services including on premises data centres, compute platforms, storage, private cloud, virtualisation, databases, and middleware technologies. Our mandate is to modernise legacy infrastructure, uplift operational maturity, and deliver Infrastructure as a Service using automation-first engineering principles.
• Within IPE, the Infrastructure Consumption Platform (ICP) team provides the foundational data capabilities that enable evidence based engineering decisions across the entire infrastructure stack. We maintain authoritative infrastructure datasets, lifecycle intelligence, and analytics used to support capacity planning, refresh cycles, cyber risk management, and large-scale transformation programs.
• Manager
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Develop and maintain scalable data pipelines and ETL processes.
• Build and orchestrate workflows using Apache Airflow.
• Process large datasets using Apache Spark.
• Design and develop backend services using Python and C# (.NET/.NET Core).
• Manage and optimize databases including MS SQL, PostgreSQL, and MySQL.
• Work with object storage solutions such as MinIO.
• Collaborate with data analysts and software engineers to meet data needs.
• Ensure data quality, security, and integrity across all data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 3-5 years of experience as a Data Engineer or similar role.
• Proficient in Python and C# (.NET/.NET Core).
• Hands-on experience with Apache Airflow and Apache Spark.
• Familiarity with message queue or streaming platforms such as Kafka is a plus.
• Strong knowledge of relational databases: MS SQL, PostgreSQL, MySQL.
• Familiarity with ClickHouse or other columnar databases is a plus.
• Familiar with MinIO or other object storage platforms.
• Understanding of data warehousing concepts and data modeling.
• Strong problem-solving and communication skills.
• Good communication and teamwork skills.
• Thai native level with good command of English.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, TensorFlow, Statistics

ประเภทงาน:

งานประจำ

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to: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.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• 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. Requisition ID: 114154In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Warehousing, Compliance, Kafka

ประเภทงาน:

งานประจำ

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• More experienced candidates may be considered for appointment at the Principal/Director level.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ประเภทงาน:

งานประจำ

• We are looking for a Data & AI Consultant (Mid-level) to support data-driven projects and AI initiatives.
• In this role, you will be responsible for preparing, transforming, and structuring data to enable efficient analytics and machine learning use cases, while ensuring alignment with business requirements.
• Your missions
• Design, develop, and maintain ETL pipelines and data workflows
• Prepare and structure data to support AI/ML and Data Science teams
• Build and optimize data models for analytics and reporting purposes
• Develop Power BI dashboards and visualizations for business stakeholders
• Ensure data quality, consistency, and integrity across systems
• Collaborate with data engineers, data scientists, and business teams
• Translate business needs into technical data solutions
• Support integration of data across multiple systems and sources
• Contribute to continuous improvement of data processes and architecture
• Your profile
• Mid-level experience in Data Engineering, Data Analytics, or related field
• Strong knowledge of ETL processes and data transformation
• Experience in data modeling and structuring datasets
• Hands-on experience with Power BI or similar BI tools
• Understanding of how to prepare data for AI/ML use cases
• Basic understanding of cloud environments (AWS, Azure, or GCP) is a plus
• Strong analytical and problem-solving mindset
• Good communication skills in English
• What we offer
• Opportunity to work on data and AI transformation projects
• Exposure to modern data stack and cloud technologies
• Continuous learning and professional development
• A collaborative, international, and dynamic work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!