Data Engineer – Digital Transformation

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 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:

• Location: Pune

• Team Structure: Part of the Digital Transformation Organization.

• Key Platform: Primarily Palantir Foundry.