Role: Senior AWS Data Engineer/Architect.
Location: Piscatway, NJ (Day 1 onsite Hybrid)
Position type: W2 contract
ย About the Role
ย You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.
ย Job Description:ย
ย ย - Architect and implement cloud-native data pipelines on AWS
ย - Build serverless compute layers using Lambda, Step Functions, and Airflow
ย - Design data lake storage strategies using S3, Glue, Athena, and Redshift
ย - Integrate real-time data streams via Kinesis and SQS
ย - Collaborate with business analysts to translate reporting requirements into schema and pipeline design
ย - Own data quality, pipeline monitoring, and alerting via CloudWatch
ย - Lead schema design for Athena and Postgres tables โ DDL, partitioning, indexing
ย - Evaluate and integrate AI/ML services โ Bedrock, Comprehend, Transcribe
ย - Document architecture decisions and maintain runbooks
ย ย Must Have
ย ย - overall 10 to 15+ with 6+ years AWS data engineering experience
ย - Expert Python โ data transformation, boto3, async processing
ย - Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow
ย - Airflow โ production DAG development and debugging
ย - SQL โ complex queries, window functions, partitioning, performance tuning
ย - IAM โ roles, policies, cross-account access, permissions boundaries
ย - Experience designing event-driven, serverless architectures at scale
ย - Strong understanding of data lake patterns โ partitioning, file formats, crawlers
ย Nice to Have
ย ย - Amazon Connect / telephony platform experience
ย - LLM integration โ prompt engineering, Bedrock, API gateway patterns
ย - Amazon Transcribe / Call Analytics
ย - Terraform / CloudFormation
ย - QuickSight dashboarding
ย - Multi-account AWS organisation management