We are seeking a highly skilled AWS Data Engineer with 4+yrs exp for Bhubaneshwar location only.

- 5+ years of hands-on experience in AWS Glue and AWS services as Data Engineer in designs, builds, and maintains robust, scalable automated data integration pipelines.
- execute extract, transform, and load (ETL) or extract, load, and transform (ELT) activities within Amazon's serverless data integration service by using AWS Glue
- Programmatically clean, enrich, and restructure datasets using PySpark and SQL
- Set up and manage AWS Glue Crawlers to automatically discover and index schemas into the centralized Data Catalog
- Configure automated triggers, dependencies, and end-to-end workflows within Glue or external tools like AWS Step Functions
- Implement automated data quality validation checkpoints to flag anomalies or broken data streams
- Monitor job execution, optimize worker allocations (DPUs),



and structure job timeouts to reduce computing costs
- Deep expertise in the AWS ecosystem, specifically Amazon S3, AWS Lambda, IAM roles, and Amazon Redshift.
- Strong command of the Apache Spark engine and data formatting standards (e.g., Parquet, JSON, Avro)
- Experience with star schemas, data lakes, and optimizing queries across structured and semi-structured architectures.
- Design, build and implement changes according to the requirement.
- Positive to have experience in Oracle RDS on AWS

Looking for short Notice joiners, if interested, Pls share your resume to [email protected]

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📌 Walk-in || Aws Data Engineer @Tech Mahindra Bhubaneshwar (Bhubaneswar)
🏢 Tech Mahindra
📍 Bhubaneswar