Data Engineering and Cloud

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.

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.

BE M Tech CS

6+ years