GCP Data Engineer

Senior Data Engineer Department – Data Platform

Location – Bangalore

Years of Experience: 7 - 11years

As a Senior Data Engineer, you will play a key role in building and scaling our modern data platform on Google Cloud. This platform underpins our ambition to become a truly data-driven business, enabling teams across Finance, Merchandising, Ecommerce, Retail, and Wholesale to make better, faster decisions. Working closely with the Data Architect / Lead, you will translate architectural designs into scalable, production-ready data solutions. You will take ownership of building high-quality data pipelines and models, ensuring our data is reliable, well-structured, and trusted across the business. This is a hands-on role where you will combine strong engineering capability with a passion for quality, performance, and continuous improvement.

Responsibilities

• Building the Data Platform - Design and build scalable, reliable data pipelines on GCP
• Ingest and integrate data from multiple source systems (e.g. OMS, ERP, eCommerce platforms)
• Implement data transformations across Bronze → Silver → Gold layers in BigQuery
• Data Modelling & Structure - Develop high-quality, reusable data models (facts & dimensions)
• Apply modelling standards defined by the Data Architect / Lead
• Ensure data is structured in a way that supports self-serve analytics and reporting
• Data Quality & Trust-Implement data quality checks, monitoring, and alerting
• Support reconciliation across key systems (e.g. OMS, finance, payments)
• Contribute to data contracts, lineage, and documentation to build trust in data
• Technical Delivery & Best Practice -Translate architectural designs into scalable, maintainable solutions
• Drive best practices in ELT, modular transformations, and CI/CD
• Promote high standards in coding, testing, and documentation
• Collaboration - Work closely with the Data Architect / Lead on solution design and platform evolution
• Partner with Data Product & Insights teams to deliver analytics-ready datasets
• Collaborate with Engineering and Integration teams to improve upstream data quality
• Performance & Optimisation - Optimise BigQuery models and queries for performance and cost efficiency
• Ensure reliability and stability of data pipelines
• Proactively identify and resolve bottlenecks and issues

Qualifications

• Bachelor’s degree in computer science, Information Systems, or related field.

Required Skills

• Overall, 7 to 10 years of experience in GCP, SQL and data modelling
• Hands-on experience with multiple Google BigQuery projects
• Experience with core Google Cloud Platform data services such as: Dataform (or dbt equivalent), Cloud Composer (Airflow), Pub/Sub, Cloud Storage
• Proven experience building scalable ETL/ELT pipelines
• Experience in Retail environments
• Technical & Engineering Practices
• Strong understanding of data engineering best practices (testing, CI/CD, version control)
• Experience working within defined architectural frameworks
• Ability to balance rapid delivery with long-term maintainability

Preferred Skills

• Experience with Looker or similar BI tools
• Familiarity with data governance and cataloging tools (e.g. Dataplex)

Benefits:

• Flexible schedule

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka