Data Engineer
- Auburn Hills, MI, United States
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Job details
- Experience
- 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.
- Working hours
- 40 hours/week
- Posting language
- English
- Posted
Original job description
Autoliv ASP, Inc. seeks a 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: (1) Data Architecture and Modelling Enterprise using data warehouse design, dimensional modeling, and schema optimization; (2) ETL Pipeline Design and Development including Designing, developing, and maintaining scalable ETL/ELT pipelines using Informatica and cloud platforms; (3) Advanced SQL Development using SnowSQL & Oracle SQL, Complex analytical SQL, performance tuning, procedural SQL, query optimization; (4) Data Quality Checks, Testing, and Issue Resolution including Data validation, reconciliation, testing strategies, and root cause analysis; (5) Enterprise Report Development, Debugging, and Support using OBIEE and Power BI report development, troubleshooting, and support. Requires 3 years of experience in the following: (1) Semi Structured Data Integration and Optimization including Ingestion and transformation of JSON, XML, and other semi structured data, within Snowflake environments; (2) End-to-End Production Support, Monitoring, and Issue Resolution including Production monitoring, incident management, and performance optimization of data pipelines. Requires 2 years of experience in the following: Multi Cloud Data Platform using Microsoft ADF, Fabric, ADLS, Informatica IICS, and related services including Cloud based data integration, transformation, and platform adoption. 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# 65245) for consideration.
More about this job
Skills
- Data models
- Data warehousing
- Manage resources
- Coaching
- Computer science
- Data engineering
- Informatica
- SQL
- Oracle
- Root cause analysis
- Debugging
- Microsoft Power BI
- Troubleshooting
- Snowflake