Data Engineer

Role & responsibilities

• Working with the Subject Matter Experts and Business Analysts to grasp the best knowledge of investment product architecture and implement new features in the scope of the project and other project deliverables.
• Design, Development, Testing and Support of Informatica based ETL Applications, using existing and emerging technology platforms.
• The incumbent will be responsible for requirement gathering from the client team and building the interactive dashboards and stories in Tableau, should be an adaptable individual who enjoys getting into details.
• The person will be exposed to a variety of assignments, responding to new business service requests/assignments, problem solving, maintaining stability and performing technical implementations.
• Partner with SMEs, Developers and other stakeholders.

Preferred candidate profile

• Experience with Python is must.
• Good knowledge of data warehousing concepts.
• Good analytical and problem solving skills.
• Working knowledge on job scheduling tools like Zeke, Autosys etc.
• Experience in DevOps tool (Jenkins & Bitbucket).
• Good knowledge on scripting (Unix/Windows
• Strong knowledge of relational database and stored procedures.
• Experience with various DevOps tools - source code management tools such as Jenkins, Bit bucket, CI CD tools Ansible, CDD etc.
• Knowledge of APIs is good-to-have.
• Experience of Agile methodology.
• Hands on experience on ZEKE & Control M scheduling.
• For AWS or Azure based roles, strong knowledge of cloud ecosystem & services (EC2, S3 etc)