Description

Key Skills: AWS, Databricks, SQL, Python, AWS Cloud

Roles and Responsibilities:

• Design, develop, and optimize data pipelines and batch/streaming data processing workflows on AWS and Databricks.
• Implement data transformations and analytics-ready datasets using Python and SQL.
• Build and maintain AWS-based data infrastructure and services to support scalable data ingestion and processing.
• Develop reusable data engineering components and support production deployments for data workloads.
• Collaborate with engineering teams to review requirements, validate data outputs, and ensure operational reliability.

Skills Required:

• 5-9 years of relevant experience in data engineering / application data development
• AWS (core services for data and compute workloads)
• Python (data engineering development)
• SQL (data modeling and querying)
• Databricks (Spark-based data engineering)

Good to Have:

• AWS Cloud

Education: Any Graduation, Any Post Graduation

Key Skills

Education

Any Graduate