This Data Engineer role involves understanding data requirements, creating mappings between source and target systems, and ensuring applications adhere to architectural standards and security guidelines. The company emphasizes experience with ETL, SQL, Snowflake, AWS, and Agile methodologies. Collaboration with various teams is key.
Requirements
- Understand requirement, source to target mapping and Data model and create mappings.
- Ensuring associated applications adhere to architecture standards, risk management and security guidelines and data management policies.
- Strong working knowledge in ETL – Informatica.
- Good exposure to writing SQL, Snowflake queries.
- Working knowledge in Unix.
- Good Understanding of Data Warehousing concepts, Dimension modelling.
- Good knowledge in agile methodologies.
- Good knowledge of Scripting (Python scripting, Shell or PowerShell).
- AWS Cloud knowledge and infrastructure management (EC2).
- Experience with scheduling tools like Control-M.
- Experience in working with ServiceNow and ability to manage changes and its processes.
- Experience with Udeploy / Datical.
- Effective communication and excellent “story-telling from data” abilities.
- Ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.