Bosch Chassis Systems India Private Ltd. is hiring an AI Data Engineering and Sr Cloud Specialist

Responsibilities: - Design, develop, and maintain scalable and efficient data pipelines and infrastructure to support autonomous driving research and development. - Extract, 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. - Develop and optimize data storage and retrieval strategies, ensuring data quality and integrity. - Implement data governance and security measures to protect sensitive data. - Monitor and troubleshoot data pipelines and systems to identify and resolve issues promptly. - Continuously explore and evaluate new data technologies and tools to improve data processing efficiency and scalability. - Mentor and guide junior data engineers in their professional development. Mandatory Core Skills & Competencies: - Strong proficiency in Python or another programming language commonly used in data engineering. - Expertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow. - Deep understanding of data warehousing and data lake concepts. - Experience with cloud platform (Azure) and cloud-based data services. Knowledge of SQL and NoSQL databases. - Site Reliability Engineering. - Excellent problem-solving and analytical skills. - Ability to work independently and as part of a cross-functional team. Strong communication and documentation skills. Nice to Have Skills: - Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch). - Familiarity with autonomous driving technologies and concepts. Knowledge of data visualization tools (e.g., Tableau, Matplotlib). - Experience with real-time data processing and streaming technologies. - Understanding of data quality and validation techniques. Experience with containerization technologies (Docker, Kubernetes). - Familiarity with CI/CD pipelines and DevOps practices. - Experience 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.