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 environment. The candidate should have strong 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
- Robust 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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