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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.
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.
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.
Strong 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.
Masterâs degree is a plus.
Apply by sending your CV to [email protected]