Senior Big Data Engineer – AWS
Experience: 8–12 Years
Location: Bangalore-Hybrid
Employment Type: Full-Time
Immediate/Early Joiners Preferred

Job Summary
We are looking for a Senior Big Data Engineer with 8–12 years of experience to design, develop, and maintain scalable Big Data solutions in an AWS-based workplace. The candidate should have solid hands-on experience with Spark, PySpark or Scala, AWS EMR, AWS Glue, Step Functions, and Lambda.

Mandatory Technical Skills
• Programming: PySpark or Scala
• Cloud Platform: AWS
• Big Data & AWS Tools: Amazon EMR, AWS Glue, AWS Step Functions, AWS Lambda, Spark
• Strong experience in an AWS-based Big Data / Data Engineering environment
• Working knowledge of Git/Git Repository

Key Responsibilities
• Lead the design and development of scalable Big Data solutions for the Home Connect domain.
• Develop robust data pipelines using AWS EMR, Glue, Spark,



PySpark or Scala.
• Design workflow orchestration using AWS Step Functions and Lambda.
• Perform performance tuning, debugging, and optimization of data processing jobs.
• Ensure data quality, reliability, scalability, and maintainability of solutions.
• Collaborate with cross-functional teams and provide technical guidance to other engineers.
• Troubleshoot, monitor, and optimize data pipelines.
• Develop and manage ETL workflows using AWS Glue and EMR.

Good-to-Have Skills
• Additional AWS services
• Cloud Data Engineering
• Data pipeline monitoring and optimization
• AI knowledge
• Databricks
• Snowflake

? Interested candidates can share their updated resume at [email protected]

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