Gap - Senior Data Engineer

Note : Women Candidates Preferred

About the Role :

We are hiring a Senior Data Engineer to design, build, and maintain cloud-based data pipelines that enable business insights across Gap Inc. s global operations. This role is hands-on, focused on developing scalable data solutions, supporting analytics, and collaborating with cross-functional teams. The ideal candidate thrives on solving complex data problems, working with modern cloud platforms, and contributing to a growing data engineering ecosystem.

What You'll Do :

- Design, develop, and maintain data pipelines to integrate data from multiple business applications.

- Implement best practices in coding, testing, and automation.

- Support data quality, governance, and access control initiatives.

- Participate in peer code reviews and contribute to team knowledge sharing.

- Assist in monitoring pipeline performance and resolving data issues.

- Recommend improvements to data processes and platform capabilities.

Who You Are :

- 4 - 7 years of experience in Data Engineering or related roles.

- Hands-on experience with cloud-based platforms

1. Azure : Databricks, PySpark, Data Lake, ADF Or equivalent

2. GCP stack : BigQuery, Dataflow, Composer, etc.

- Proficiency in Python , Linux scripting, and building scalable data pipelines.

- Familiarity with relational/non-relational databases, data streams, and file stores .

- Experience with version control and CI/CD tools (GitHub, Jenkins).

- Graduate degree in Computer Science or equivalent.

Good-to-Have Skills :

- Experience with BI/reporting tools (Power BI, MicroStrategy).

- Familiarity with enterprise integration patterns and data governance.

- Exposure to DevOps practices , monitoring, and observability.

- Strong collaboration and communication skills in cross-functional teams.