Role :Senior Data Engineer (Senior Associate – Data Engineering)

Experience : 9+ Years

Location : Delhi NCR

Immediate Joiners Only.

We are looking for an experienced Senior Data Engineer with strong hands-on expertise in PySpark and Apache Spark who can independently support job validation, optimize data pipelines, and guide client teams on effective data validation techniques.

? Key Responsibilities

- Design, develop, and support large-scale batch and real-time data pipelines.
- Build and optimize ETL/ELT pipelines using PySpark, Apache Spark, and AWS services.
- Perform job validation, troubleshoot issues, and ensure data quality and accuracy.
- Guide client teams on data validation strategies and best practices.
- Develop and optimize data transformation workflows and data models.
- Integrate third-party vendor data through APIs.
- Collaborate with cross-functional teams to deliver scalable data engineering solutions.




- Contribute to infrastructure optimization, automation, and CI/CD initiatives.

? Required Skills ✅ Robust hands-on experience with PySpark and Apache Spark✅ 7+ years of experience building ETL pipelines for large datasets✅ 3+ years of experience with AWS services such as S3, Glue, Aurora, and Databricks✅ Strong SQL and Python programming skills✅ Experience in data modeling, database design, and legacy data migration✅ Good understanding of data quality, job validation, and pipeline optimization

? Good to Have

- API development and Redis or other in-memory database experience
- AWS Lambda, IAM, Step Functions, and CloudWatch
- Infrastructure as Code (IaC), automation tools, and CI/CD pipelines
- Relevant AWS certifications

📌 Senior Data Engineer (Senior Associate – Data Engineering) (Delhi)
🏢 Innova ESI
📍 Delhi