Senior Data Engineer

GAP; Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Gap Inc. in Hyderabad is seeking a Senior Software Engineer (G6) to shape the future of data engineering. You will design and deliver cloud-native data solutions powering decision-making across our global retail business, working with Databricks, PySpark, and Azure/GCP.

You will mentor peers, influence architecture decisions, and drive engineering excellence. This role is ideal for engineers solving complex data challenges, collaborating with diverse stakeholders, and pushing scalability and

Qualifications

• Graduate degree in Computer Science or equivalent.
• Strong analytical thinking and problem-solving skills.
• Experience with cloud-based data engineering platforms.
• Experience designing and delivering data pipelines across multiple business applications.

Responsibilities

• Define technical requirements with Product Managers and Solution Architects.
• Design, build, and maintain cloud-based data pipelines.
• Collaborate with stakeholders to fulfill data requirements for analytics and operations.
• Guide team on 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 monitoring.
• Provide technical inputs to Statements of Work for external providers.

Skills

Strong data engineering

Cloud platforms

Databricks

PySpark

CI/CD

Stakeholder collaboration

Education

Graduate degree in Computer Science

Tools

Databricks

PySpark

Azure

Data Lake

Unity Catalog

ADF

BigQuery

Dataflow

Composer

Job description

Role & responsibilities

We are hiring a Senior Software Engineer (G6) 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, and Azure/GCP cloud platforms, 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.

Responsibilities

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.

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

57years 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.