Company: Bhartiya Converge

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Small/Medium Business

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

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.

What You’ll Own (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 & Optimization

- Optimize BigQuery models and queries for performance and cost efficiency
- Ensure reliability and stability of data pipelines
- Proactively identify and resolve bottlenecks and issues

What Skills You’ll Need

- Overall, 6 to 9 years of experience SQL and data modelling experience
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 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

Nice to Have

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

You Are

- Hands-On & Accountable: You take ownership of delivery and see things through to completion
- Quality-Driven: You care about data accuracy, consistency, and trust
- Collaborative: You build solid relationships across technical and business teams
- Curious & Proactive: You look for ways to improve data, processes, and performance
- Adaptable & Resilient: You thrive in a fast-paced transformation environment
- Problem Solver: You approach challenges with a logical, solution-oriented mindset

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