Data Engineer with Databricks/10+ yrs/Remote

9+ Years in Databricks is Mandatory

Location- Remote

Please find the updated JD for the requirement as below and we have two open positions

10+ years of experience in data engineering roles.

Develop scalable ETL pipelines for structured and semi-structured data.

Strong expertise in Azure Databricks, ADF, Delta Lake, and PySpark.

End-to-end Databricks workflows for Bronze, Silver, and Gold layers.

Optimize Spark jobs for performance and cost-efficiency.

Monitor and troubleshoot pipeline failures using Databricks logs and Azure Monitor.

Collaborate with cross functional teams, and business stakeholders to deliver data products.

Document data flows, schemas, and transformation logic.

Handle large volumes of data with efficient Spark configurations.

Use RBAC, Key Vault, and encryption for secure data access.

Experience with CI/CD, Git, and DevOps practices.

Familiarity with data modeling, data governance, and BI tools.

ADF pipelines for ingestion and orchestration.

CI/CD scripts and deployment documentation.

Excellent problem-solving and communication skills.

Ensure code modularity, readability, and reusability.

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ₹90,000.00 - ₹100,000.00 per month

Benefits:

• Work from home