Staff Software Engineer-Data Eng job opportunity at Gap Inc..

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DatePosted 29 Days Ago bot
Gap Inc. Staff Software Engineer-Data Eng
Experience: 11-years
Pattern: full-time
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loacation Spoke - Hyderabad, India
loacation Spoke - Hydera..........India

About the Role 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 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.   Who You Are 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.  

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