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

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