Lead Data Engineer
- Auburn Hills, MI, United States
Applications open in a new tab.
Job details
- Working hours
- 40 hours/week
- Posting language
- English
- Posted
Original job description
Autoliv ASP, Inc. seeks a Lead Data Engineer in Auburn Hills, MI. Duties: Develop data architectures and data models for data ingestion and processing. Engineer data flow and data ingestion tools, and techniques to support big data. Work with both structured and unstructured data to build data models & data schemas Execute. "Wrangle" large data sets to obtain actionable insights from them. Work with global BI, ETL, and Visualization experts and tool sets to process & manage data.Grow. Ensure quality and validity of data through data architecture and related best practices. Support the growth and scalability of data pipelines, data lakes, and data warehousing. Responsible for managing resources, mentoring, and training the developers in developing efficient code, ensuring coding standards are followed, performing code reviews, delivery of quality code, meeting the timelines for development, and performing end-to-end testing. Requires a Bachelor's degree in Computer Science, Data Science, Data Engineering, or a related field plus 5 years of experience in a related occupation. Requires 5 years of experience in the following: Informatica ETL Design & development; Data Modeling; Data Migration & Integration; Semi-Structured Data Handling; Unix Shell & Python Scripting; File Transfer Protocols; Data Quality & Testing; Automation & Testing; End to End Production Support. Requires 3 years of experience in the following: SnowSQL & Snowflake Scripting. Telecommuting is permitted. 40 hours/week. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref# 45340) for consideration.
More about this job
Skills
- Data models
- Data warehousing
- Manage resources
- Coaching
- Computer science
- Data engineering
- Informatica
- Data modelling
- UNIX Shell
- Python
- Snowflake