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

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Design, develop, and maintain scalable and efficient data pipelines and infrastructure to support autonomous driving research and development.

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Extract, transform, and load (ETL) data from various sources, including sensors, simulations, and databases.

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Collaborate with data scientists, researchers, and engineers to understand data requirements and translate them into technical solutions.

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Develop and optimize data storage and retrieval strategies, ensuring data quality and integrity.

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Implement data governance and security measures to protect sensitive data.

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Monitor and troubleshoot data pipelines and systems to identify and resolve issues promptly.

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Continuously explore and evaluate new data technologies and tools to improve data processing efficiency and scalability.

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Mentor and guide junior data engineers in their professional development.

Mandatory Core Skills & Competencies

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Strong proficiency in Python or another programming language commonly used in data engineering.

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Expertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow.

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Deep understanding of data warehousing and data lake concepts.

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Experience with cloud platform (Azure) and cloud-based data services.

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Knowledge of SQL and NoSQL databases.

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Excellent problem-solving and analytical skills.

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Ability to work independently and as part of a cross-functional team.

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Strong communication and documentation skills.

Nice to Have Skills

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Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).

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Familiarity with autonomous driving technologies and concepts.

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Knowledge of data visualization tools (e.g., Tableau, Matplotlib).

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Experience with real-time data processing and streaming technologies.

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Understanding of data quality and validation techniques.

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Experience with containerization technologies (Docker, Kubernetes).

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Familiarity with CI/CD pipelines and DevOps practices.

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Experience with data governance and compliance frameworks (e.g., GDPR, CCPA).

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Ph.D. or Master's degree in Computer Science, Data Engineering, or a related field.

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Publications in relevant conferences or journals.

Qualifications

BE M Tech CS

Additional Information

6+ years