Data Engineer (Spark)

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

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  Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.

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  Design and implement data pipelines that process large volumes of data in both streaming and batch modes.

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  Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.

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  Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.

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  Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources.

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  Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing.

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  Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads.

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  Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.