Summary: The Data Engineer will contribute to driving digital transformation within the automotive sector by developing and implementing advanced data solutions that enhance decision-making processes across various teams.

Main Responsibilities

- Collect, store, process, and analyze large datasets to support strategic decisions.
- Collaborate with global teams to propose and test optimal data solutions.
- Implement data solutions primarily on the Palantir Foundry platform or internal AI solutions.
- Ensure data quality and interpret data-related issues.
- Develop and maintain data pipelines, documentation, and definitions.
- Prepare data for predictive modeling and contribute to functional analysis.
- Stay updated on new technological tools and promote best practices for sustainable data platforms.
- Facilitate knowledge transfer among team members and communicate effectively across departments.

Key Requirements





- 3 to 5 years experience in data mining from diverse data sources.
- Proficiency in implementing data flows and automation between data sources.
- Hands-on experience with data processing frameworks such as PySpark and Spark.
- Strong understanding of data quality assurance and problem analysis.

Nice to Have

- Bachelor's or Master's degree in Computer Science or Engineering.
- Experience with Big Data solutions and BI tools.
- Familiarity with Agile software development methodologies.
- Excellent communication and problem-solving skills.

Other Details

- Location: Pune
- Team Structure: Part of the Digital Transformation Organization.
- Key Platform: Primarily Palantir Foundry.

📌 Data Engineer – Digital Transformation (Pune)
🏢 Emagine
📍 Pune