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Data Engineer

icon building Company : Gts .
icon briefcase Job Type : Full Time

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Job Description - Data Engineer


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.


  • 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.


  • Master’s degree is a plus.

    Apply by sending your CV to [email protected]









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