- 7+ years of Data Engineering experience with strong AWS cloud expertise and architecture understanding.
- Hands-on experience with AWS S3, Glue, Lambda, Athena, and Step Functions .
- Experience building APIs using API Gateway with Lambda/ECS/EKS .
- Solid experience in S3 bucket design, partitioning, lifecycle policies, IAM, and encryption .
- Hands-on Amazon Athena experience for data validation, ad-hoc queries, and performance optimization on large S3 datasets.
- Strong ETL/ELT pipeline development and optimization experience with AWS Glue and Step Functions.
- Experience with file-based ingestion , including SFTP, file drops, inbox/outbox, and event-driven S3 ingestion.
- Experience migrating data from RDBMS/data warehouses to AWS S3 or Redshift .
- Strong Python and SQL skills for data processing and automation.
- Experience designing data lake architectures using Raw, Curated, and Consumption layers.
- Strong understanding of partitioning, distributed processing, data quality, and pipeline optimization .
- Experience with event-driven pipelines using one or more of SQS, SNS, EventBridge, Kafka, or Kinesis .
- Strong debugging, monitoring, troubleshooting, and performance optimization skills.

📌 Sr. Data Engineer(AWS) (Chandigarh)
🏢 Trantor
📍 Chandigarh