Python AWS Data Engineer

Experience : 5 to 8 years

Job description : Python AWS Data Engineer

• Python, AWS Python (core language skill) Backend, Pandas, PySpark (DataFrame API), interacting with AWS (e.g., boto3 for S3, Glue, Lambda)
• Data Processing : Spark (PySpark), Glue, EMR AWS Core Services : S3, Glue, Athena, Lambda, Step Functions, EMR
• Containerization : Docker
• Orchestration : Kubernetes (EKS)
• Infrastructure as Code : Terraform, CloudFormation CI / CD Pipelines Data Formats & Processing : parquet, json, csv, SQL / PostgreSQL, Pandas
• Version Control : Git Cloud ML Services : SageMaker (basic / optional) Problem-solving & Agile working environment Exposure AWS Sagemaker Endpoints (development, deployment, scaling, end-to-end ML workflows) Exposure to Large language models (LLM)
• Java knowledge would be added advantage

Timing : 2 PM - 11 PM IST ( 4 hours overlap with EST)