Global Data Engineer Senior Specialist (Gurugram)

Global Data Engineer Senior Specialist (Gurugram)

Company: Boston Consulting Group (BCG)

Job Location: India

Employment Type: Full-time

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital venturesand business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

As a Senior Data Engineer, you will design, build, test, and maintain scalable data pipelines and integrations that support BCGs Marketing function. You will work across cloud-based platforms, external APIs, and diverse data sources to ensure reliable, high-quality data is available for analysis and decision-making.

You will take ownership of complex data engineering tasks, troubleshoot production issues, improve data models and code efficiency, and help maintain strong standards for data quality, security, testing, and documentation.

YOU'RE POSITIVE AT

Design, build, test, and maintain scalable data pipelines and integrations.

Integrate data from cloud platforms, on-premises systems, and external APIs.

Manage and improve data platform processes to support reliable production delivery.

Investigate data issues, resolve discrepancies, and address root causes.

Monitor pipeline performance and help ensure agreed service levels are met.

Improve data models, code efficiency, testing, and overall data quality.

Apply strong standards for data integri .