Data Engineer (Google Cloud Platform)
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your extensive Google Cloud Platform, BigQuery, and Ab Initio expertise to build impactful data solutions within a reputable corporation. You'll thrive here if you possess strong ETL/ELT pipeline development skills and enjoy collaborating on enterprise data integration projects. Apply now to advance your career in a dynamic environment.
Quick Overview
Job Description
Role: Google Cloud Platform Data Engineer
Location: Charlotte, NC
Duration: 12 Contract
Experience Required: 12+ Years
Job Summary:
- We are looking for an experienced Data Engineer with expertise in Google Cloud Platform, BigQuery, Ab Initio, and Teradata to design, develop, and optimize large-scale data pipelines and ETL solutions. The ideal candidate should have strong experience in cloud-based data engineering, data warehousing, and enterprise data integration.
Required Skills
- 8+ years of experience in Data Engineering
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) and BigQuery
- Expertise in Ab Initio (GDE, Express>It, Conduct>It)
- Strong experience with Teradata
- Experience developing ETL/ELT pipelines and data migration
- Strong SQL and performance tuning skills
- Experience with Unix/Linux scripting
- Knowledge of Python or Java is a plus
- Familiarity with Git, CI/CD, and Agile methodologies
Responsibilities:
- Design and develop scalable ETL/ELT pipelines using Ab Initio
- Build and optimize data solutions on Google Cloud Platform and BigQuery
- Perform Teradata data modeling, optimization, and migration
- Ensure data quality, performance, and reliability
- Collaborate with business stakeholders and cross-functional teams
- Support production deployments and troubleshoot data issues
Thanks & Regards,
Shivani Pandey
Sr. Associate Talent Acquisition
Email:
Web:
Skills
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