Exp - 7-12yrs

Work location ; Bangalore

Work Mode : Hybrid
Role: Senior Data Engineer Spark/PySpark/Scala/Hive | Experience: 7+ years | Location: Bangalore, Hybrid
Design, develop, deploy, and support enterprise-scale Data Lake and distributed processing solutions using Spark, PySpark, Scala, Python, Hive, Spark SQL, and Airflow.
Build modular, testable, reusable ETL pipelines across HDFS, Hive, Parquet, and Cloudera CDP on-premises settings.
Apply partitioning, bucketing, schema evolution, data quality, reconciliation, error handling, monitoring, recovery, and security practices.
Optimize workloads through expertise in joins, shuffles, serialization, caching, partition sizing, file formats, query plans, and resource utilization.
Implement data modeling, CI/CD, Git, GitLab, Jenkins, Maven/SBT, release,



and operational practices.
Troubleshoot logs, failures, performance bottlenecks, and production incidents through effective root-cause analysis.
Demonstrate solid conceptual depth, coding discipline, analytical thinking, and attention to detail.
Communicate clearly, challenge assumptions, learn rapidly, and convert ambiguity into pragmatic outcomes.
Own customer-facing delivery with a Forward Deployed Engineer mindset: adaptable, hands-on, action-oriented, and accountable.
Use Claude, Cursor, and Copilot responsibly for coding, testing, automation, and documentation.

📌 Walk In Spark + Scala+ Python +github Copilot Bengaluru
🏢 Hexaware Technologies
📍 Bengaluru