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Senior Data Analysis Lead
Greetings!
We are looking for Data Analysis Lead
Location: Ingolstadt
Experience: 8+ years
Job Type: Hybrid
Work Type: Fulltime
Mandatory Skills: Data Bricks, Python,CI/CD,Cloud.
Key Responsibilities
data analytics processes, tools, and frameworks.
Data Pipeline Implementation: Design, develop, and deploy robust data pipelines on cloud platforms to support data processing and analysis.
Technical Skills:
Python (L2 Proficiency): Proficient in Python and experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Plotly).
Experience with version control systems (e.g., Git, Bitbucket).
Data Bricks (L2 Proficiency): Hands-on experience with Data Bricks for data processing and analysis.
Big Data (L2 Proficiency): Experience with big data technologies such as Elasticsearch, etc.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and data pipeline tools (e.g., Apache Kafka, Apache Spark, Airflow).
Knowledge:
Strong understanding of Automated Driving (AD) principles and technologies.
Understanding of automotive safety standards and functional safety concepts (e.g., ISO 26262) is a plus.
Familiarity with automated driving technologies (e.g., ADAS, Autonomous Driving) and automotive bus systems (e.g. CAN, Automotive Ethernet) is highly desirable.
If you are interested kindly share your resume to [email protected]
Key Skills
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