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BoschGroup

AI Data Engineering and Sr Cloud Specialist

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 87d ago

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Skills required

17 listed
Research And DevelopmentCI/CDApache SparkMachine LearningDeep LearningPowerHouse (Programming Language)Extract Transform Load (ETL)Python (Programming Language)+9 more
Research And DevelopmentCI/CDApache SparkMachine LearningDeep Learning

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Job description

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 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.

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.
  • 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.

 

Qualifications

BE M Tech PhD in Computer Science

Additional Information

6 years

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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