- Design Develop and maintain Scalable Data Pipelines using Apache Spark (Scala)
- Build and Optimize ETL/ELT workflows on AWS
- Work with large scale structured and unstructured Datasets
- Develop Data Solutions using AWS services such as S3, EMR, Glue, Redshift, Athena,Lambda
- Ensure Data Security, Governance and Compliance Best Practices
Must-Have :
- Strong Expertise in AWS Data Engineering
- Hands-on expertise in Spark and Scala
- Extensive experience with AWS Cloud Services (S3, EMR, Glue, Redshift, Athena etc)
- Solid understanding of Distributed computing
- Proficiency in SQL.
- Experience in Data Pipeline Orchestration tools (Airflow, Step Functions etc)
Positive-to-Have :
- Familiarity with CI/CD pipelines
- Experience with Streaming Data Pipelines.
- Relevant AWS Certifications
📌 AWS Spark Scala Data Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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