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Job Description

Data Engineering
Data Engineer
Senior
India
Remote
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Drivers of change, it s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by 2 billion people in the world.
What project we have for you
Intellias is supporting the modernization and ongoing development of a cloud-native, AI-driven platform used across the vehicle product lifecycle by a major global automotive group. The platform enables structured planning, testing, deployment, and reporting of both hardware and software components, significantly enhancing quality, traceability, and process automation in automotive R&D.
Intellias is responsible for maintaining and upgrading the existing system, integrating Microsoft Azure services (e.g., Azure DevOps, Data Factory, Databricks, Power BI) to support scalable data ingestion, predictive analytics, and AI-powered decision-making.
The project includes building predictive models and intuitive dashboards, all aligned with agile methodologies and continuous delivery practices.
This initiative is a core part of the client s long-term strategy to enable software-defined vehicle development through intelligent, integrated engineering platforms.
What you will do
  • Design, implement, and maintain scalable data pipelines using Azure Data Factory.
  • Manage data extraction, transformation, and loading (ETL/ELT) from diverse sources into DWH.
  • Collaborate with analysts, ML engineers, and developers to ensure data accessibility and quality.
  • Maintain Oracle database integration with other enterprise systems.
  • Support configuration management, release planning, and deployment of data services.
  • Ensure data security, privacy, and compliance best practices are followed.
What you need for this
  • 5+ years of experience in data engineering with a focus on SQL and DWH solutions.
  • Strong hands-on experience with Oracle DB and writing complex queries and stored procedures.
  • Proficiency in Azure Data Factory for building and managing data pipelines.
  • Knowledge of data integration patterns and ETL/ELT design.
  • Experience with Release & Configuration Management processes in a data-centric environment.
  • Familiarity with cloud-native data warehousing and distributed systems.
What it s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
DWH
ETL/ELT
OracleDB
SQL

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