Lead, Data Engineer

About Us

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN. As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provide AI and data science services and products to the group. With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.
 

About Team & Role

As the Senior Data Engineer, you will be responsible for Design, build, administer and scale data processing pipelines (batch/streaming) from structured/semi-structured/unstructured types of data sources, Improve scalability, stability, accuracy, speed and efficiency of current data systems. In addition, Work with functional analyst, project manager, product owner and other engineers in an agile way (or project base in some cases) on requirements and deliverable

Responsibilities

  • Design, build, administer and scale data processing pipelines (batch/streaming) from structured/semi-structured/unstructured types of data sources (CSV, JSON, Parquet, tables, Kafka, etc.)
  • Improve scalability, stability, accuracy, speed and efficiency of current data systems
  • Responsible for design, building, testing and deployment of new libraries, frameworks for core systems with the high standard of quality
  • Work with functional analyst, project manager, product owner and other engineers in an agile way (or project base in some cases) on requirements and deliverable
  • Ensure SLA and provide the greatest experience for users by collaborating closely with the Data Operations team.
  • Ensure compliance with data governance and security policies
  • Be a strong advocate for a culture of process and data quality across the teams

Qualifications

  • Strong experience in Big data development
  • Extensive experience in the automated software and data pipeline development and deployment flow (CI/CD)
  • Hands-on experience in data modeling and creating algorithms that turn data into optimal, practical, and valuable information
  • Strong coding ability in these types of programming languages; Apache Spark, Python, SQL
  • Strong analytical and problem-solving skills
  • Good understanding of the Data Management concept
  • Stay up-to-date onnew Big Data and Analytics technologies
  • Can-do attitude
  • Good communication skills (Thai and English)

Qualifications that would be a plus

  • Knowledge of other data and analytics tools, such as key-value data stores, in-memory data stores, real-time analytics databases, etc.
  • Knowledge of the Azure cloud computing service
  • Experience in working with Azure Databricks
  • Experience and know-how in working with banking data
  • Knowledge of the Scala programming language

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