Senior Data Engineer – AWS / Azure / Databricks

Senior Data Engineer AWS / Azure / Databricks

Location: Bangalore, India

Work Model: On-site

Employment Type: Contract / Full-time project assignment

Experience: 812 years

We are supporting a global technology program seeking an experienced Senior Data Engineer to design and build scalable cloud-based data platforms and modern data pipelines within a complex enterprise data environment.

This role focuses on developing robust data engineering solutions that enable advanced analytics and data-driven decision-making across large-scale global operations.

The selected consultant will work closely with data architects, engineers, and business stakeholders to build reliable data foundations and scalable data processing pipelines.

Key Responsibilities

Design and build scalable cloud-based data platforms and ELT pipelines

Develop and maintain data ingestion, transformation, and integration processes

Implement data modeling and data engineering best practices across enterprise platforms

Collaborate with business and technology teams to translate data requirements into scalable solutions

Optimize data pipelines for performance, reliability, and cost efficiency

Support enterprise analytics and reporting capabilities

Work closely with data architects, analysts, and engineering teams to ensure high-quality data solutions

Contribute to continuous improvement of data platform architecture and engineering standards

Required Experience

812 years of experience in Data Engineering or Data Platform roles

Strong experience building data pipelines and data integration frameworks

Hands-on experience with cloud platforms (AWS and/or Azure)

Experience with Databricks and modern data engineering tools

Strong experience with SQL and large-scale data processing

Experience working with enterprise data environments and distributed data systems

Preferred Experience

Experience working with Spark or distributed data processing frameworks

Experience with data orchestration tools such as Airflow or Azure Data Factory

Exposure to DevOps and CI/CD pipelines in data environments

Experience working in large global enterprise environments

Engagement Details

Location: Bangalore, India

Work Model: On-site

Contract Type: Contractor / Project-based assignment