AI Data Engineering and Sr Cloud Specialist

Joinimagine; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in Bengaluru seeks a senior data engineer to design, develop, and maintain scalable data pipelines for autonomous driving R&D. You will ETL data from sensors, simulations, and databases, translate requirements into robust solutions, and ensure data quality and security.

Ideal candidates have strong Python skills and expertise in Spark, Hadoop, Kafka, and Airflow, with cloud experience on Azure.

Qualifications

• Strong programming skills in Python or similar languages.
• Experience with Spark, Hadoop, Kafka and Airflow for data pipelines.
• Deep knowledge of data warehousing and data lakes concepts.
• Cloud experience with Azure and data services; SQL/NoSQL databases.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure for autonomous driving data.
• ETL from sensors, simulations, and databases; translate data requirements into solutions.
• Develop and optimize data storage and retrieval strategies with data quality in mind.
• Implement data governance and security measures for sensitive data.
• Monitor, troubleshoot, and resolve data pipeline issues promptly.
• Explore new data technologies to improve processing efficiency and scalability.
• Mentor junior data engineers.

Skills

Python

Apache Spark

Hadoop

Kafka

Airflow

SQL

NoSQL

Site Reliability Engineering

Problem-solving

Cross-functional teamwork

Education

BE

MTech

PhD in Computer Science

Tools

Azure

Docker

Kubernetes

Databricks

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