Senior Data Pipeline Engineer - Global Team (India)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Pipeline Engineer - Global Team in India .

As a Senior Data Pipeline Engineer, you will be a key contributor to a global data engineering team, designing and building end-to-end data pipelines that drive high-impact business insights. You will work with large-scale datasets, leveraging modern data engineering tools to optimize reliability, performance, and efficiency. Collaborating closely with stakeholders and cross-functional teams, you will ensure data pipelines meet business requirements while maintaining high standards for code quality and documentation. This role offers a unique opportunity to work on strategic, high-visibility projects in a fast-paced, remote-friendly environment while shaping the future of the data engineering function in India.

Accountabilities

• Design, build, and maintain end-to-end data pipelines supporting critical business operations.
• Implement best practices for data modeling, pipeline development, and architecture.
• Collaborate with stakeholders to integrate business logic into centralized pipelines.
• Troubleshoot complex data pipeline issues using PySpark, SQL, and other ETL tools.
• Create comprehensive documentation, architecture diagrams, and training materials.
• Learn and apply modern data engineering technologies, including Databricks, Spark, and Delta.
• Support the growth of the data engineering team and contribute to strategic pipeline improvements.

Requirements

Benefits

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

It compares your profile to the job’s core requirements and past success factors to determine your match score.

Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.