Hi
The following requirement is open with our client.
Title : Senior AWS Data Engineer
Location : Near By your Location in Infosys (Hybrid)
Rate : $70/Hr On W2
Relevant Experience : 10+
Job Description:
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.
Key Responsibilities
· 5+ years AWS data engineering experience
· Expert Python — data transformation, boto3, async processing
· Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, Event Bridge, DynamoDB, Glue, Athena, Redshift,
· Airflow — production DAG development and debugging
· SQL — complex queries, window functions, partitioning, performance tuning
· IAM — roles, policies, cross-account access, permissions boundaries
· Experience designing event-driven, serverless architectures at scale
· Strong understanding of data lake patterns — partitioning, file formats, crawlers
· 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 runbook
Must-Have Skills:
· Senior AWS Data Engineer
· AWS AI Expert
· Python
· Data Lake
· Serverless Architectures
Thanks & Regards
Arun Kumar
Technical Recruiter
ASCII Group, LLC
Mobile:
Email:
Never miss an opportunity! Create an alert based on the job you applied for.
