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.
Solid 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).
Robust 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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📌 Data Engineer Gujarat
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