- Lead the design and development of scalable data pipelines using Azure Databricks, Scala, PySpark and Spark.
- Provide technical leadership for Hadoop-to-Azure migration initiatives.
- Design data integration, transformation and processing solutions.
- Optimize Databricks and Spark workloads for performance and reliability.
- Work with large-scale data lakes and data warehouse environments.
- Drive data quality, governance and security practices.
- Collaborate with Data Engineers, Data Scientists, Analysts and business stakeholders.
- Provide technical guidance, mentoring and code reviews to team members.
Job Details :
Location: Hyderabad / Bangalore
Work Mode : Hybrid
Initial Work Arrangement : 5 Days Work From Office
Shift : 11:00 AM 8:00 PM IST
Employment : Contract / C2H
Notice Period : Immediate to 15 Days
Interview : 2 Rounds Virtual
Important : Robust hands-on experience in Azure Databricks + Scala + PySpark is highly preferred.
📌 Databricks Lead - ETL/Scala/PySpark (India)
🏢 MLOPS Solutions
📍 India
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