About Bhartiya Converge - Bhartiya Converge is India's premier Global Capability Centre (GCC) enablement platform, reducing go-live timelines, increasing operational efficiency, and transforming your business outcomes with top-notch talent and integrated ecosystem, giving it a competitive advantage. Our integrated ecosystem approach delivers what traditional enablers cannot: a holistic experience where every element enhances the others.

Senior Data Engineer Department – Data Platform Location – Bangalore As a Senior Data Engineer, you will play a key role in building and scaling our contemporary 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.

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. Contribute to data contracts, lineage, and documentation to build trust in data
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
Bachelor's degree in computer science, Information Systems, or related field.

Overall, 6 to 9 years of experience SQL and data modelling experience
Hands-on experience with Google BigQuery in a production environment
Experience with core Google Cloud Platform data services such as:
Cloud Composer (Airflow)
Cloud Storage
Proven experience building scalable ETL/ELT pipelines
Experience in Retail environments
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

Experience with Looker or similar BI tools
Familiarity with data governance and cataloging tools (e.g. We celebrate diversity and are committed to creating an inclusive environment. Your data will be processed in accordance with our privacy policy and applicable laws.

📌 Senior Data Engineer - SQL (Bengaluru)
🏢 Bhartiya Converge
📍 Bengaluru