Data Engineer-Staff Software Engineer
- GAP
- 7 - 10 years
- Hyderabad
- 21 days ago
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Job Description
Role & responsibilities
Role Summary
We are hiring a Staff Software Engineer (G7) to shape the future of data engineering at Gap
Inc. In this role, you will design and deliver high-impact, cloud-native data solutions that
power decision-making across our global retail business. You will work hands-on with
cutting-edge technologies like Databricks, PySpark, Azure/GCP cloud platforms and
GenAI-powered solution while mentoring peers, driving engineering best practices, and
influencing architecture decisions.
This role is ideal for engineers who thrive on solving complex data challenges, collaborating
with diverse stakeholders, and continuously pushing the boundaries of scalability,
automation, and innovation. As part of GapTechs growing Hyderabad hub, you will play a
critical role in building the next generation of data platforms that fuel our iconic brands
worldwide.
- Partner with Product Managers and Solution Architects to define technical
requirements and translate them into scalable designs.
- Design, build, and maintain reliable cloud-based data pipelines integrating multiple
business applications.
- Design and implement GenAI-powered data solutions using Large Language
Models (LLMs).
- Collaborate with Data Scientists and ML Engineers to productionize AI models.
- Collaborate with business stakeholders to capture and fulfill data requirements for
analytics and operations.
- Guide team members on applying design patterns, coding standards, and code quality
metrics.
- Conduct peer code reviews and enforce best practices in software engineering.
- Drive continuous improvement in coding, testing, and automation practices.
- Work in a DevOps environment with CI/CD pipelines, automated releases, and
application monitoring.
- Perform root cause analysis on data and processes to identify and resolve issues.
- Recommend emerging technologies and solutions that improve platform capabilities.
- Contribute technical inputs to Statements of Work for external service providers.
Preferred candidate profile
- 7 to 11 years of experience in a Data Engineering role.
- Graduate degree in Computer Science or equivalent.
- Strong analytical thinking, logical reasoning, and problem-solving skills.
- Hands-on expertise with cloud-based data engineering platforms:
- Azure: Databricks, PySpark, Data Lake, Unity Catalog, ADF
- Or equivalent GCP stack: BigQuery, Dataflow, Composer, etc.
- Proficiency in building scalable, reliable data pipelines across multiple business
applications.
- Hands-on experience with LLMs.
- Familiarity with LangChain, LlamaIndex, or similar frameworks.
- Experience with relational and non-relational databases, data streams, and file
stores.
- Proficiency in automation and scripting using Linux shell and Python.
- Strong familiarity with version control and CI/CD tools (GitHub, Jenkins).
Good-to-Have Skills
- Experience with reporting and BI tools such as Power BI or MicroStrategy.
- Familiarity with enterprise integration patterns.
- Exposure to MLOps platforms and feature stores.
- Exposure to DevOps practices including monitoring and observability.
- Knowledge of data governance practices and cataloging.
- Experience supporting business users with analytics and reporting needs.
- Strong communication skills and ability to collaborate in cross-functional teams
Job Classification
Industry: Textile & ApparelFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: GAP Location(s): Hyderabad
Keyskills: Pyspark databricks GCP Spark
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