Technology Lead | Data On Cloud - Platform | AWS

Job Title: Senior Data Engineer Work Location: RichardsonTX75080 Vendor Rate: 66.50 Contract duration: 6 Target Start Date: 15 Jul 2026 Does this position require Visa independent candidates only? YES hybrid work set-up Job Details: Must Have Skills AWS Glue, Lambda, Redshift, EMR Nice to have skills SQL, Python/Pyspark, DAG Detailed Job Description Architect and implement cloud native data pipelines on AWS. Build serverless compute layers using Lambda, Step Functions, and Airflow. Design data lake storage strategies using S3, Glue, Athena, and Redshift. Integrate real-time data streams via Kinesis and SQS Collaborate with business analysts to translate reporting requirements into schema and pipeline design Own data quality, pipeline monitoring, and alerting via CloudWatch Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe Document architecture decisions and maintain runbooks 5 years AWS data engineering experience Expert Python data transformation, boto3, async processing Deep knowledge of S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow Airflow production DAG development and debugging SQL complex queries, window functions, partitioning, performance tuning IAM roles, policies, cross account access, permissions boundaries Minimum years of experience 5-8 years Certifications Needed :No Top 3 responsibilities you would expect the Subcon to shoulder and execute Architect and implement cloudnative data pipelines on AWS Build serverless compute layers using Lambda, Step Functions, and Airflow Design data lake storage strategies using S3, Glue, Athena, and Redshift Interview Process (Is face to face required?) No Any additional information you would like to share about the project specs/ nature of work Project Code: Child code for Bangalore STP