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With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.\n Responsibilities:\nDesign, develop, and maintain scalable and efficient data pipelines and infrastructure to support autonomous driving research and development.\nExtract, transform, and load (ETL) data from various sources, including sensors, simulations, and databases.Collaborate with data scientists, researchers, and engineers to understand data requirements and translate them into technical solutions.\nDevelop and optimize data storage and retrieval strategies, ensuring data quality and integrity.\nImplement data governance and security measures to protect sensitive data.\nMonitor and troubleshoot data pipelines and systems to identify and resolve issues promptly.\nContinuously explore and evaluate new data technologies and tools to improve data processing efficiency and scalability.\nMentor and guide junior data engineers in their professional development.\nMandatory Core Skills & Competencies:\nStrong proficiency in Python or another programming language commonly used in data engineering.\nExpertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow.\nDeep understanding of data warehousing and data lake concepts.\nExperience with cloud platform (Azure) and cloud-based data services.Knowledge of SQL and NoSQL databases.\nSite Reliability Engineering.\nExcellent problem-solving and analytical skills.\nAbility to work independently and as part of a cross-functional team.Strong communication and documentation skills.\nNice to Have Skills:\nExperience with machine learning and deep learning frameworks (TensorFlow, PyTorch).\nFamiliarity with autonomous driving technologies and concepts.Knowledge of data visualization tools (e.g., Tableau, Matplotlib).\nExperience with real-time data processing and streaming technologies.\nUnderstanding of data quality and validation techniques.Experience with containerization technologies (Docker, Kubernetes).\nFamiliarity with CI/CD pipelines and DevOps practices.\nExperience with data governance and compliance frameworks (e.g., GDPR, CCPA).Ph.D. or Master's degree in Computer Science, Data Engineering, or a related field.Publications in relevant conferences or journals.\nBE M Tech PhD in Computer Science\n 6 years","description_format":"text","description_chars":2688,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Industrial 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