Data Engineer-Senior Software Engineer

Gapinc; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Gap Inc. is hiring a Senior Software Engineer (G6) to design and deliver cloud-native data solutions on GCP from Hyderabad. You will build robust data pipelines, AI/ML-powered applications, and data products across global retail operations.

You will work hands-on with GCP-native services, collaborate with cross-functional teams, and contribute to engineering best practices within GapTech. Strong emphasis on production-grade systems and data quality.

Qualifications

• 4–7 years of overall experience with at least 3+ years in data engineering or cloud AI roles.
• Mandatory hands-on with GCP data and AI services (BigQuery, Vertex AI, Dataflow/Dataproc, Cloud Composer).
• Proficient in Python and SQL for data engineering and ML workflows.
• Experience with PySpark and large-scale data transformations; CI/CD experience required.
• Familiarity with Looker/BI tools and data governance is a plus.

Responsibilities

• Design, develop, and maintain GCP-based data pipelines integrating multiple data sources.
• Build and deploy AI/ML models and data products using GCP services (Vertex AI, BigQuery ML).
• Develop transformation logic with PySpark, SQL, and Python on GCP (Dataflow/Dataproc).
• Operate with CI/CD pipelines, automated deployments, and monitoring in the cloud.
• Conduct code reviews, ensure data quality, and improve observability and reliability.
• Collaborate with stakeholders to translate data requirements into actionable insights.

Skills

GCP data services

Python

SQL

PySpark

Data pipelines

Vertex AI

BigQuery

Dataproc

Dataflow

Airflow

CI/CD

Linux shell

GitHub

Jenkins

Looker/BI tools

Education

Graduate degree in CS/Engineering

Tools

GitHub

Cloud Build

Jenkins

Linux

Dataplex

Gemini APIs

Job description

About the Role

We are hiring a Senior Software Engineer (G6) to build and deliver intelligent, cloud-native data solutions on Google Cloud Platform (GCP) at Gap Inc. In this role, you will develop robust data pipelines and AI/ML-powered applications that enable smarter decision-making across our global retail operations. You will work hands-on with GCP-native services and modern AI frameworks, collaborate closely with cross-functional teams, and contribute to engineering best practices within GapTech's growing Hyderabad hub.
This role is ideal for engineers passionate about cloud data engineering and applied AI who want to build production-grade systems that create real business impact for iconic global brands.

What You'll Do

• Design, develop, and maintain GCP-based data pipelines integrating multiple business applications and data sources.

• Build and deploy AI/ML models and data products using GCP AI services (Vertex AI, BigQuery ML, Gemini APIs).

• Develop data transformation logic using PySpark, SQL, and Python on GCP platforms (Dataflow, Dataproc, BigQuery).

• Work within a DevOps environment with CI/CD pipelines, automated deployments, and cloud-native monitoring.

• Participate in code reviews, uphold coding standards, and ensure data quality and pipeline reliability.

• Perform root cause analysis on data issues and implement robust, long-term solutions.

• Support business stakeholders with data requirements, analytics insights, and reporting needs.

• Contribute to improving automation, testing, and observability practices across the data platform.

Who You Are

• 4–7 years of overall experience, with at least 3+ years in a Data Engineering or Cloud AI role.

• Graduate degree in Computer Science, Engineering, or equivalent.

• Mandatory: Hands-on expertise with GCP data and AI services:

• BigQuery — data modeling, optimization, partitioning, and clustering

• Vertex AI — model training, deployment, and MLOps pipelines

• Cloud Dataflow / Dataproc — batch and streaming data processing

• Cloud Composer (Apache Airflow) — pipeline orchestration

• Cloud Storage, Pub/Sub, and Bigtable — data storage and real-time streaming

• Mandatory: Experience building and operationalizing AI/ML models in GCP (Vertex AI, BigQuery ML, or Generative AI APIs).

• Proficiency in Python and SQL for data engineering and AI/ML workflows.

• Familiarity with PySpark for large-scale data transformations.

• Strong understanding of data pipeline architecture — batch, micro-batch, and streaming patterns.

• Experience with version control and CI/CD tools (GitHub, Cloud Build, Jenkins).

• Proficiency in Linux shell scripting and automation.

Good-to-Have Skills

• Experience with LLM integration or Generative AI on GCP (Gemini APIs, Model Garden, or similar).

• Familiarity with data governance, data cataloging (Dataplex), and data lineage on GCP.

• Exposure to dbt (data build tool) for transformation and documentation.

• Knowledge of enterprise integration patterns and event-driven architectures.

• Experience with BI and reporting tools such as Looker, Power BI.

• Strong communication and stakeholder collaboration skills in cross-functional, global teams.