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Data Engineering and Cloud

Bosch Group

Data Engineering and Cloud

full-timePosted: Jan 17, 2026

Job Description

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:

  1. Strong proficiency in Python or another programming language commonly used in data engineering.
  2. Expertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow.
  3. Deep understanding of data warehousing and data lake concepts.
  4. Experience with cloud platform (Azure) and cloud-based data services.
  5. Knowledge of SQL and NoSQL databases.
  6. Excellent problem-solving and analytical skills.
  7. Ability to work independently and as part of a cross-functional team.
  8. Strong communication and documentation skills.

Nice to Have Skills:

  1. Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).
  2. Familiarity with autonomous driving technologies and concepts.
  3. Knowledge of data visualization tools (e.g., Tableau, Matplotlib).
  4. Experience with real-time data processing and streaming technologies.
  5. Understanding of data quality and validation techniques.
  6. Experience with containerization technologies (Docker, Kubernetes).
  7. Familiarity with CI/CD pipelines and DevOps practices.
  8. Experience with data governance and compliance frameworks (e.g., GDPR, CCPA).
  9. Ph.D. or Master's degree in Computer Science, Data Engineering, or a related field.
  10. Publications in relevant conferences or journals.

Qualifications

BE M Tech CS

Additional Info

6+ years

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.

Locations

  • no.123 industrial layout hosur road koramangala,, bengaluru , India

Salary

Estimated Salary Rangemedium confidence

75,000 - 130,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python数据工程intermediate
  • Apache Spark/Hadoop/Kafka/Airflowintermediate
  • Azure云数据服务intermediate
  • SQL/NoSQL数据库intermediate
  • 数据仓库/数据湖intermediate

Required Qualifications

  • BE/MTech CS (experience)
  • 6+年经验 (experience)
  • 数据工程工具专长 (experience)
  • 云平台经验 (experience)
  • MLOps实践 (experience)

Responsibilities

  • 设计开发可扩展数据管道
  • ETL数据处理
  • 数据存储检索策略优化
  • 数据治理安全措施实施
  • 数据管道监控故障排除

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Bosch Group logo

Data Engineering and Cloud

Bosch Group

Data Engineering and Cloud

full-timePosted: Jan 17, 2026

Job Description

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:

  1. Strong proficiency in Python or another programming language commonly used in data engineering.
  2. Expertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow.
  3. Deep understanding of data warehousing and data lake concepts.
  4. Experience with cloud platform (Azure) and cloud-based data services.
  5. Knowledge of SQL and NoSQL databases.
  6. Excellent problem-solving and analytical skills.
  7. Ability to work independently and as part of a cross-functional team.
  8. Strong communication and documentation skills.

Nice to Have Skills:

  1. Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).
  2. Familiarity with autonomous driving technologies and concepts.
  3. Knowledge of data visualization tools (e.g., Tableau, Matplotlib).
  4. Experience with real-time data processing and streaming technologies.
  5. Understanding of data quality and validation techniques.
  6. Experience with containerization technologies (Docker, Kubernetes).
  7. Familiarity with CI/CD pipelines and DevOps practices.
  8. Experience with data governance and compliance frameworks (e.g., GDPR, CCPA).
  9. Ph.D. or Master's degree in Computer Science, Data Engineering, or a related field.
  10. Publications in relevant conferences or journals.

Qualifications

BE M Tech CS

Additional Info

6+ years

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.

Locations

  • no.123 industrial layout hosur road koramangala,, bengaluru , India

Salary

Estimated Salary Rangemedium confidence

75,000 - 130,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python数据工程intermediate
  • Apache Spark/Hadoop/Kafka/Airflowintermediate
  • Azure云数据服务intermediate
  • SQL/NoSQL数据库intermediate
  • 数据仓库/数据湖intermediate

Required Qualifications

  • BE/MTech CS (experience)
  • 6+年经验 (experience)
  • 数据工程工具专长 (experience)
  • 云平台经验 (experience)
  • MLOps实践 (experience)

Responsibilities

  • 设计开发可扩展数据管道
  • ETL数据处理
  • 数据存储检索策略优化
  • 数据治理安全措施实施
  • 数据管道监控故障排除

Target Your Resume for "Data Engineering and Cloud" , Bosch Group

Get personalized recommendations to optimize your resume specifically for Data Engineering and Cloud. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineering and Cloud" , Bosch Group

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Data Engineering and Cloud @ Bosch Group.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.