Data Engineering and Cloud

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ 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. Job Description 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. • 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. Qualifications BE M Tech CS Additional Information 6+ years