Data Engineering Architect

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).