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Python Data Engineer
4 weeks ago
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 )
- 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 )
