Sr Data Engineer
First seen by Alion on Oct 28, 2026.
About the Company
About Bhartiya Converge - https://www.bhartiyaconverge.com/ 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.
About the Role
Senior Data Engineer Department – Data Platform Location – Bangalore 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
- What Skills You'll Need
- 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:
- 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
- Nice to Have
- Experience with Looker or similar BI tools
- Familiarity with data governance and cataloging tools (e.g. Dataplex)
Equal Opportunity Statement
Equal Opportunity & Privacy Bhartiya Converge is an equal opportunity employer. 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.