Python Data Engineer

Location: Bangalore / Pune / Kolkata / Hyderabad / Gurugram

Data Engineer

• 4+ experience
• 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)

• Python API + Data Engineer

   — skilled in Python, PySpark, AWS Glue, EMR, Python API development, with experience in SageMaker and ML/MLOps, adaptable to remote work and quick learning in a US-based, agile environment. 
• Working hours: should be available till 12:00 PM / 12:30 PM EST, with at least 4 hours overlap. ( 12 PM – 9 PM IST )

or

• Self-motivated Python Data Engineer

   -- skilled in Python backend/API development (Fast API, async), AWS cloud services (S3, Glue, EMR, SageMaker, Athena), ML/MLOps, unit testing (pytest), SQL/PostgreSQL, and modern dev tools (Git, Docker, Kubernetes, Terraform), capable of independent work with strong production support and effective communication in fast-paced, agile environments.
• Must work independently with minimal supervision, overlap at least 4 hours with EST (until 1:00 PM to 1:30 PM EST), and support production releases .( 1PM -10 PM IST )