7–10 yrsOn-siteDirect career pageEst. 18–30 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and execute data engineering tasks using Azure, AWS, Snowflake, Databricks, Python, SQL, and PySpark.
- Deliver measurable data solutions as part of a senior-led transformation team serving global clients.
- Engage in client-facing responsibilities including project execution, domain expertise application, and possible team handling.
Minimum Requirements
- 7 to 10 years of total relevant experience in data engineering.
- Proficiency in Azure and/or AWS cloud platforms, Snowflake, Databricks, Python, SQL, and PySpark.
- Work Mode: Hybrid across Pan India locations.
- Employment Type: Full-time. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in client-facing roles with domain expertise in data engineering.
- Capable of collaborating across teams and demonstrating ownership in project and team settings.
- Comfortable engaging in multi-stage interview processes evaluating technical skills and cultural fit within senior-led teams.