Description

You will design, develop, and optimize data pipelines and batch/streaming workflows on AWS and Databricks. You will build scalable data infrastructure to support ingestion and processing while ensuring operational reliability through collaboration with engineering teams.

This role is on-site.

Responsibilities

• Design and implement data transformations and analytics-ready datasets using Python and SQL.
• Build and maintain AWS-based data infrastructure for scalable data ingestion.
• Develop reusable data engineering components and support production deployments.
• Collaborate with engineering teams to validate data outputs and review requirements.
• Optimize data pipelines and streaming workflows for performance and reliability.

Required Skills

• 5-9 years of experience in data engineering or application data development.
• Strong proficiency in Python for data engineering development.
• Expertise in SQL for data modeling and querying.
• Hands-on experience with Databricks and Spark-based data engineering.
• Deep knowledge of AWS core services for data and compute workloads.
• Experience with batch and streaming data processing workflows.
• Ability to build reusable components and support production deployments.

Preferred Skills

• Additional certifications or deeper specialization in AWS Cloud services.

Key Skills

Education

Any Graduate