Hadoop Data Engineer

Role: Hadoop Data Engineer

Experience: 8–12 Years
Location: Bangalore
Work Mode: Hybrid

We are looking for an experienced Hadoop Data Engineer with strong hands-on expertise in Python, PySpark, Hadoop, and SQL to design, develop, and maintain scalable data engineering solutions.

Key Responsibilities:

• Design and develop scalable data pipelines using Hadoop, PySpark, Python, and SQL .
• Develop and optimize ETL/ELT workflows for large-volume datasets.
• Perform data processing, transformation, validation, and troubleshooting.
• Work with distributed data processing and Hadoop ecosystem technologies.
• Optimize Spark/PySpark jobs and SQL queries for performance and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions.
• Ensure data quality, consistency, and efficient pipeline execution.
• Support production issues, debugging, and performance optimization.

Must-Have Skills: Python, PySpark/Spark, Hadoop, SQL, ETL/ELT, Data Pipelines, Data Processing, and Data Engineering.


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