Role: Data Engineer
Location: Dearborn, MI(Onsite)
Employment Type: Full-Time
Job Summary:
We are looking for an experienced Data Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data solutions. The ideal candidate will be responsible for building reliable data pipelines, managing modern data platforms, and supporting large-scale data processing and analytics initiatives.
Key Responsibilities:
Collaborate with business and technology teams to gather and understand data requirements
Design, build, and maintain scalable data infrastructure for data collection, storage, transformation, and analysis
Develop and optimize ETL pipelines and data workflows
Design and manage data warehouses, data lakes, and lakehouse architectures
Build analytical tools, automation scripts, and data engineering utilities
Ensure data quality, reliability, and system performance
Monitor and troubleshoot data platform issues and implement improvements
Support enterprise reporting, analytics, and business intelligence initiatives
Required Qualifications:
7+ years of experience in Data Engineering
Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
Experience with big data technologies, data mining, and business intelligence solutions
Strong expertise in ETL development, data modeling, and analytics platforms
Experience working with large-scale structured and unstructured data
Good understanding of data warehouse and data lake concepts
Bachelor’s Degree in Computer Science, Information Technology, or related field
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