We are looking for a Sr. Data Engineer based in Chennai to support data pipelines, databases, and the technical delivery of data for the ProsperFleet solution. The ideal candidate will have hands-on experience with database-driven products, ETL, API development, data ingestion, and data science support. This role requires a self-starter who can collaborate effectively with teams and stakeholders, drive production-ready results, and contribute to continuous improvement in a rapidly changing environment. Remote work may be granted on a case-by-case basis.

Key Responsibilities


- Establish and document data governance, metadata, and cataloging standards for the data pipeline.

- Create and maintain documentation for all technical processes from requirements to coding to QC.

- Work with domain owners, database managers, and QC analysts to ensure deliverables meet business requirements.

- Leverage APIs for automated data cleansing, transformation, validation, and migration.

- Support the database manager in developing, maintaining, and managing the data environment.

- Ensure readiness of data delivery via apps, extensions, APIs, CRM integrations, and custom datasets.

- Ingest licensed, public, scraped, and derived data, as well as updates for verticals like OEM, EV, research, capital markets, and dealers.

- Implement business requirements for ETL, integrations, analytics, and visualization in production.

- Build data platforms on AWS,



Snowflake, Elastic, and other marketplaces for data delivery.

- Support app and data science developers to ensure data availability for development, testing, and releases.

- Apply Agile and Waterfall best practices for product deliverables using Jira or Zoho Project.

- Promote a performance culture focusing on priority and value-add.

- Support exploratory and predictive analysis for new fields, customization, and data science activities.

- Create derivatives of the data platform to support sales, marketing, and sample data generation.

Key Skills & Qualifications


- 7+ years of hands-on experience in database product/platform roles with API integration (C#) and intermediate to expert Python.

- Deep knowledge of interoperability between applications, databases, and delivery methods.

- Robust experience in data engineering, pipelines, and handling high-volume, multi-dimensional databases.

- Experience designing, building, and leading product lifecycle management from front-end to back-end.

- Knowledge of company/contact database matching rules, validation, deduplication, survivorship, and hierarchy data.

- Undergraduate degree in Computer Science or Engineering; certifications in project management, analytics, or databases preferred.

- Master’s degree is a plus.

Apply by sending your CV to [email protected]