Job Description Summary
Responsible for developing data engineering jobs and workflows that enable data analytics and reporting solutions based on the given design and architecture. Responsible for executing and delivering the results using agile methodologies. Also responsible for providing post-deployment support when needed.
Roles and Responsibilities
In this role, you will:
Perform data profiling and data analysis for any source systems and the target data repositories
Understand metadata and the underlying data structures needed to standardize the data load processes.
Develop data mapping specifications based on the results of data analysis and functional requirements
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Validate the data mapping results
Implement Data Quality (DQ) rules provided
For roles outside USA:
Bachelor’s Degree in with basic experience.
For roles in USA:Bachelor’s Degree in with minimum years of experience0years
Desired CharacteristicsTechnical Expertise:
Hands-on experience in programming languages like Java, Python or Scala
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years’ experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.