- 7+ years of Data Engineering experience with solid 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

.

- Strong 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