
Data Engineer, Applied Analytics & Insights
Welcome to General Motors, where we are driving the future of mobility with cutting-edge technology and innovative thinking. As a Data Engineer for our Applied Analytics & Insights team, you will play a crucial role in shaping the way we utilize data to drive business decisions and optimize our operations. We are looking for a talented individual who is passionate about leveraging data to uncover insights and drive business impact. If you have a strong background in data engineering and a desire to push the boundaries of what is possible, we want you on our team. Join us and be a part of shaping the future of GM.
- Develop and maintain data pipelines, data warehouses, and data applications to support business needs.
- Collaborate with cross-functional teams to identify data requirements and design solutions to meet business objectives.
- Design and implement data models and data structures to support data analytics and reporting.
- Ensure data integrity and accuracy through data quality checks and troubleshooting.
- Utilize advanced data manipulation and transformation techniques to optimize data for analysis.
- Develop and implement data governance policies and procedures to ensure data security and compliance.
- Identify and recommend opportunities for data optimization and automation to improve efficiency and effectiveness.
- Stay current with industry trends and advancements in data engineering techniques and tools.
- Communicate complex technical concepts and solutions to non-technical stakeholders.
- Collaborate with data scientists and analysts to provide data insights and support data-driven decision making.
- Participate in the development and execution of data strategies and roadmaps.
- Train and mentor junior data engineers on best practices and techniques.
- Proactively identify and troubleshoot data issues, providing timely resolutions.
- Participate in the evaluation and implementation of new data technologies to enhance data capabilities.
- Adhere to data governance and security standards to ensure data confidentiality and privacy.
Bachelor's Or Master's Degree In Computer Science, Data Science, Statistics, Or A Related Field.
Minimum Of 3 Years Of Experience In Data Engineering, Data Analytics, Or Data Science.
Proficiency In Programming Languages Such As Python, Sql, And R.
Strong Understanding Of Data Warehousing, Etl Processes, And Data Modeling.
Experience Working With Big Data Technologies Such As Hadoop, Spark, And Nosql Databases.
Sql
Python
Big Data
Data Modeling
ETL
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Data integration
Predictive analytics
Data governance
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, Applied Analytics & Insights is between $80,000 to $120,000 per year. However, this can vary depending on factors such as location, experience, and the specific industry or company the individual is working for. In certain industries or companies, the salary range can be higher, reaching up to $150,000 or more. Additionally, those with advanced skills and experience in the field may also command higher salaries.
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