Data Engineer

Hiring:
Data Engineer | Azure Databricks

Location:

Mumbai

Experience:

10+ Years
Domain:
Insurance / Finance Preferred
CTC:
Up to 25L (Fixed)

Must Have

Skills:

Exposure to the full data engineering and analytics development life cycle.
5+ yrs of core experience in Data Engineering, Data Analytics, or Business Intelligence.
Azure Databricks and PySpark experience essential; experience with Databricks Workflows (job scheduling and orchestration) required
Strong knowledge of PySpark, Python, SQL, and data pipeline orchestration using Databricks Workflows
Good understanding of medallion architecture (Lakehouse), Delta Lake, data modelling, and supporting areas (Data Transformation, Governance and Reporting)
Power BI or Databricks SQL for reporting and analytics preferred

Key Responsibilities:

The incumbent is responsible for designing, developing and optimising data engineering solutions on the Azure Databricks platform using PySpark, implementing medallion architecture patterns (Bronze, Silver, Gold), scheduling and orchestrating data workflows, and delivering quality analytics and reporting solutions to the business.

Mandatory

Skills:

Exposure to the full data engineering and analytics development life cycle
Experience managing Data Projects
Azure Databricks and PySpark experience essential; experience with Databricks Workflows (job scheduling and orchestration) required
The successful candidate should have experience with medallion architecture (Bronze, Silver, Gold), Delta Lake, and Unity Catalog; SQL Server experience advantageous

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