Aws data engineer

AWS Py Spark Redshift Data Engineer

Contract

India (Offshore)

Technet IT has partnered with a global technology services organisation supporting a portfolio of enterprise life sciences clients (large-scale, multi-national environment) to hire an experienced AWS Py Spark Redshift Data Engineer on a long-term contract basis.

This is an opportunity to work across multiple data programmes within life sciences, contributing to scalable, cloud-based data platforms in a highly regulated, data-driven environment. The role is suited to engineers who are confident operating across AWS ecosystems and delivering high-quality data solutions in enterprise settings.

Key responsibilities

Design, build and optimise data pipelines using AWS and Py Spark

Develop and maintain data workflows within Redshift for ingestion, transformation and reporting

Support ongoing enhancement of cloud-based data platforms

Collaborate with cross-functional teams across multiple life sciences accounts

Troubleshoot and resolve data issues, ensuring performance and reliability

Required experience

5+ years in data engineering

Strong hands-on experience with AWS and Py Spark

Proven experience working with Redshift

Solid understanding of ETL processes and modern cloud data architectures

Ability to work in stakeholder-facing environments with strong communication skills

Preferred: Experience within life sciences or pharmaceutical environments

If you're an experienced AWS Data Engineer looking to work on complex, high-impact data programmes, please get in touch.