Responsibilities
- Understand the requirements and create the documentation for business specification, technical specifications, SIT test cases for data pipelines and internal processes following industry best practice and GIC guidelines.
- Set up the data pipeline infrastructure strictly following technical guidelines and best practice.
- Perform data pipeline enhancements to reduces data quality and operational issues and improve the user experience.
- Perform data pipeline monitoring and job recovery following team arrangement.
Essential Requirements (Skills Requirements)
- Min 6 - 9 years of experience.
- Experience with the Systems Development Life Cycle implementation methodology (SDLC). Hands-on experience with the creation of business specification, tech specification, SIT test documentation, UAT sign off process.
- Good knowledge of implementing ETL pipelines using Informatica BDM on data warehouses and data platforms, such as RDBMS, Snowflake.
- Exposure and knowledge in the following technologies is advantageous:
- SDLC Process – Confluence, JIRA, Change request, SIT/UAT
- Big Data Platforms – Snowflake
- OS, Programming and Scripting: Linux, Python, Shell Script
- SQL Databases: Oracle, MS-SQL
- Able to understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
- Good communication skills required to interact with data stewards, data engineers and business users to understand the requirements.
- Good at working with details and is meticulous for operations.
Skillset (Good to have)
- AWS Services
- Java
