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 GapTech’s growing Hyderabad hub, you will play a critical role in building the next generation of data platforms that fuel our iconic brands worldwide.What You'll Do
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.
Must-Have Skills
9–11 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.
Top Skills
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.
Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.
Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.
Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.
We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
