
Senior Data Engineer, Measurement Science
"Are you a highly skilled and experienced data engineer looking for a new challenge? General Motors is seeking a Senior Data Engineer to join our Measurement Science team and help drive data-driven decision making across our organization. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure, ensuring the accuracy and reliability of our data sources. We are looking for someone with a passion for data and analytics, a strong technical background, and the ability to work collaboratively with cross-functional teams. If you are ready to take your career to the next level and make an impact in the automotive industry, we want to hear from you!"
- Design and develop data infrastructure to support data-driven decision making across the organization.
- Ensure the accuracy and reliability of data sources by implementing data quality checks and monitoring processes.
- Collaborate with cross-functional teams, including data scientists and business analysts, to understand data needs and develop solutions.
- Stay up-to-date on industry trends and best practices in data engineering and integrate them into our data infrastructure.
- Optimize data pipelines and processes for efficiency and scalability.
- Develop and maintain data models, data dictionaries, and data governance standards.
- Troubleshoot and resolve data-related issues in a timely manner.
- Work with large, complex datasets and develop solutions to handle data challenges.
- Document and communicate data engineering processes and solutions to team members and stakeholders.
- Mentor and train junior data engineers to improve their technical skills.
- Collaborate with software engineers to integrate data engineering solutions into our applications.
- Identify opportunities for process improvements and implement solutions to increase efficiency and effectiveness.
- Ensure compliance with data privacy and security regulations.
- Take ownership of data engineering projects and drive them to completion within given timelines.
- Continuously monitor and evaluate the performance of data infrastructure and make recommendations for improvements.
Advanced Knowledge Of Programming Languages Such As Python, Java, And Sql, As Well As Experience Working With Big Data Frameworks Like Hadoop And Spark.
Expertise In Database Design, Data Modeling, And Data Warehousing, With A Strong Understanding Of Etl Processes And Data Integration Techniques.
Proven Experience In Developing And Maintaining Data Pipelines And Data Architecture For Large-Scale, Complex Data Systems.
In-Depth Understanding Of Statistical Analysis And Machine Learning Techniques, With The Ability To Apply Them To Solve Real-World Business Problems.
Strong Communication And Collaboration Skills, With The Ability To Work Cross-Functionally With Teams Of Data Scientists, Analysts, And Business Stakeholders To Deliver Data-Driven Solutions.
Sql
Python
statistical analysis
Big Data
Data Modeling
Machine Learning
Hadoop
Data warehousing
Cloud Computing
Data architecture
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Critical thinking
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Senior Data Engineer, Measurement Science is between $120,000 to $160,000 per year. However, this can vary depending on factors such as location, experience, and company size. Some senior data engineers in more senior positions may earn upwards of $200,000 per year.
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