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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 (Tensor Flow, Py Torch).
- 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
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.
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About Bosch

Bosch
PublicRobert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.
10,001+
Employees
Gerlingen
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
4.1
Career
4.3
Management
2.9
72%
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Pros
Great people and team environment
Career development and learning opportunities
Good compensation and benefits
Cons
Poor work-life balance expectations
Management issues and favoritism
Lack of clear policies
Salary Ranges
711 data points
Senior/L5
Senior/L5 · Business Development Manager - Press
1 reports
$175,455
total / year
Base
$152,570
Stock
-
Bonus
-
$175,455
$175,455
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
71%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
HR Round/Salary Negotiation
6
Offer Extended
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Project-based Assessment
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