Data Engineering and Cloud
Data Engineering and Cloud
Posted on :
19-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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 cloudbased data services.
- Knowledge of SQL and NoSQL databases.
- Excellent problemsolving and analytical skills.
- Ability to work independently and as part of a crossfunctional 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 realtime 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 Masters degree in Computer Science Data Engineering or a related field.
- Publications in relevant conferences or journals.
Qualifications :
BE M Tech CS
Additional Information :
6 years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
