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:
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Collect, store, process, and analyze large datasets to support strategic decisions.
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Collaborate with global teams to propose and test optimal data solutions.
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Implement data solutions primarily on the Palantir Foundry platform or internal AI solutions.
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Ensure data quality and interpret data-related issues.
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Develop and maintain data pipelines, documentation, and definitions.
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Prepare data for predictive modeling and contribute to functional analysis.
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Stay updated on new technological tools and promote best practices for sustainable data platforms.
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Facilitate knowledge transfer among team members and communicate effectively across departments.
Key Requirements:
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3 to 5 years experience in data mining from varied data sources.
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Proficiency in implementing data flows and automation between data sources.
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Hands-on experience with data processing frameworks such as PySpark and Spark.
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Strong understanding of data quality assurance and problem analysis.
Nice to Have:
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Bachelor's or Master's degree in Computer Science or Engineering.
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Experience with Big Data solutions and BI tools.
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Familiarity with Agile software development methodologies.
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Excellent communication and problem-solving skills.
Other Details:
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Location: Pune
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Team Structure: Part of the Digital Transformation Organization.
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Key Platform: Primarily Palantir Foundry.
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