Senior/Lead Data Engineer (5+ Years)

Location: Ahmedabad
Experience: 5+ Years
Employment Type: Full-Time

Job Summary

We are looking for a Senior Data Engineer with solid hands-on experience in Databricks, Python, PySpark, and Microsoft Azure Data Platform technologies. The ideal candidate should have experience building scalable data pipelines, modern data architectures, and enterprise data solutions.

Key Responsibilities

- Design and develop scalable data pipelines and ETL/ELT solutions.
- Build and optimize data solutions using Databricks, Python, and PySpark.
- Work with Azure Data Factory (ADF), Azure Synapse Analytics, or Microsoft Fabric.
- Implement Delta Lake/Lakehouse architecture.
- Optimize Spark workloads and support batch and real-time data processing.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data quality, security, and governance.
- Mentor junior engineers and support CI/CD and DevOps practices.





Required Skills

- 5+ years of Data Engineering experience.
- Strong hands-on experience with Databricks (Mandatory).
- Expertise in Python, PySpark, and SQL.
- Experience with ADF, Azure Synapse, or Microsoft Fabric (at least one is mandatory).
- Strong knowledge of data modeling, data warehousing, and Azure cloud services.
- Experience with Delta Lake, Git, and Azure DevOps.

Preferred Skills

- Spark Structured Streaming
- Power BI
- Data Governance
- Snowflake or AWS exposure

Education

Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related field.

Preferred Certifications

- Databricks Certified Data Engineer
- Microsoft Azure Data Engineer Associate (DP-203)
- Microsoft Fabric Analytics Engineer Associate (DP-600)

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