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HotSkills.Tech - Explore Job Opportunities

Explore Job Opportunities

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Featured Jobs

TechCorp logo

Senior Python Developer

TechCorp

San Francisco, CA

DataCo logo

Data Scientist

DataCo

New York, NY

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Frontend Developer

WebSolutions

Remote

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DevOps Engineer

CloudTech

Seattle, WA

Open Jobs

Jobs via Dice logo

Google Cloud Platform DATA ENGINEER

Jobs via Dice - St. Louis, MO

LaunchCode logo

AI Software Engineer

LaunchCode - St. Louis, MO

Fifth Third Bank, N.A. logo

Data Scientist

Fifth Third Bank, N.A. - St Bernard, OH

VMC Soft Technologies, Inc logo

Information Technology Infrastructure Engineer

VMC Soft Technologies, Inc - Owings Mills, MD

Xometry logo

Staff Software Engineer

Xometry - Gaithersburg, MD

Northrop Grumman logo

Principal or Senior Principal Design Software Engineer (Logging/Telemetry/Data handling)

Northrop Grumman - Annapolis Junction, MD

Nightwing logo

Journeyman Software Developer

Nightwing - Annapolis Junction, MD

Jobs via Dice logo

Jobs via Dice - St. Louis, MO

Job Type: Not specified

Experience: Not specified

About Job

Dice is the leading career destination for tech experts at every stage of their careers. Our client, GLOBAL IT CON LLC, is seeking the following. Apply via Dice today! Job Description: We are seeking an experienced Google Cloud Platform Data Engineer to design, build, and manage scalable data pipelines on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Dataflow, and DAG orchestration (Airflow/Cloud Composer) to support advanced analytics and data processing. Responsibilities: • Design and implement ETL/ELT pipelines using Google Cloud Platform services (Dataflow, Pub/Sub, BigQuery). • Develop and schedule DAGs using Airflow/Cloud Composer for workflow automation. • Optimize BigQuery queries and data models for performance and cost efficiency. • Collaborate with data scientists, analysts, and cloud architects to deliver scalable data solutions. • Ensure data quality, reliability, and security within cloud data pipelines. Required Skills & Qualifications: • 10+ years of experience in Data Engineering. • Strong hands-on expertise in Google Cloud Platform BigQuery, Dataflow, and DAGs (Airflow/Cloud Composer). • Proficiency in SQL and Python for data transformation. • Experience with CI/CD pipelines, Terraform, or similar IaC tools. • Knowledge of data warehousing, distributed systems, and cloud best practices. • Google Cloud Platform Certification preferred. job perk: Posted At: 10 hours ago, job perk: Schedule Type: Full-time, job perk: Qualifications: No degree mentioned

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