Key Responsibilities :

- Design, develop and maintain scalable data pipelines and ETL processes using AWS services.

- Work extensively with AWS S3, Glue, EMR, Lambda and Redshift.

- Build data processing solutions using Python, Java or Scala.

- Develop and optimize SQL, data warehousing and large-scale data pipelines.

- Work with SQL and NoSQL databases and Big Data technologies.

- Ensure data quality, governance, security and pipeline monitoring.

- Troubleshoot pipeline issues and collaborate with data scientists, analysts and cross-functional teams.

Required Skills :

- 6+ years of Data Engineering experience

- 3+ years of hands-on AWS Data Engineering experience

- Strong AWS S3, Glue, EMR, Lambda & Redshift

- Strong Python / Java / Scala

- Strong SQL & Data Warehousing

- SQL & NoSQL databases

- Big Data / Distributed Data Processing

- B.Tech / B.E. / M.Tech

- Immediate joiners or candidates who can join within 15 days

Good to Have :

- Apache Airflow, Docker, Kubernetes