About the role
A senior Architect in Data Engineering with exposure to Analytics, with end-to-end implementation of projects. It is a replacement for Pradipta, so expectations are to manage the team, be technically strong, and work on solutions and proposals.
Responsibilities:
- A senior Architect in Data Engineering with exposure to Analytics with end-to-end implementation of projects.
- It is a replacement for Pradipta, so expectations are to manage the team, be technically strong, and work on solutions and proposals.
Requirements:
- Fundamentals of Data Engineering, Data Modelling, Data Governance.
- Proficient in solutioning enterprise-level projects and managing the delivery by leading a team. Architect solutions across any Cloud [AWS/Azure].
- Strong in SQL, Python, PySpark, Databricks/AWS/Snowflake [1 is mandatory].
- Worked on Data Governance projects.
- Exposure to Data.
- Analytics or ML is a plus [PowerBI, Tableau or Machine learning, MLOPs].
- Good in communication and strong customer facing.
- Handled a larger team.
- Worked on client-facing proposals.
- Education: Graduates only (please ignore pursuing/drop out/12th or 10th pass).