Basic Information

Ref Number


Last day to apply


Primary Location




Job Type

Digital Solutions

Description and Requirements

  • Support the operation of the Enterprise Data Warehouse and Data Lake in a global environment.

  • Develop and maintain automated ETL pipelines using scripting languages such as Python, Spark, SQL and AWS services such as S3,Redshift, Glue, Lambda, SNS, SQS, Kinesis, CloudWatch.

  • Develop and optimize data warehouse and data lake tables using best practice for DDL, physical and logical tables, data partitioning, compression, and parallelization.

  • Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.

  • Support business customers develop, troubleshoot, and optimize complex SQL and ETL solutions to solve reporting, metrics, and analytics problems.

  • Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, Data Lake, and analytics solutions.

  • Develop, test, and deploy code using internal software development toolsets. This includes the code for deploying infrastructure and solutions for secure data storage, ETL pipelines, data catalog, and data query.

  • Perform necessary system maintenance tasks, debugging, troubleshooting, and performance tuning.

  • Create and maintain documentation for the Enterprise Data Warehouse environment.

Additional Job Description

  • Must possess good verbal written communication skills.

  • Ability to work in a team and handle pressure and demands.