Sr. AWS developer

About The Role

You will develop 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.

Job Description

• Develop and implement cloud-native data pipelines on AWS
• Build serverless compute layers using Lambda, Step Functions, and Airflow
• understand 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

• Overall 8-10 yrs with 6+ years hands-on AWS experience Lambda, S3, SQS, Step Functions, EventBridge, DynamoDB
• Strong Python Lambda handlers, boto3, JSON transformation, error handling
• Airflow DAG development task design, XCom, sensors, operators
• Cross-account AWS architecture IAM roles, resource policies, trust relationships
• SQL Athena (Presto), Postgres, partition management
• Experience with event-driven architectures S3 events, SQS, EventBridge rules
• Understanding of AWS Transcribe / Call Analytics output formats

• Amazon Connect / telephony platform experience
• LLM integration prompt engineering, Bedrock, API gateway patterns
• Amazon Transcribe / Call Analytics
• Terraform / CloudFormation
• QuickSight dashboarding
• Multi-account AWS organisation management