Data Engineer (Google Cloud Platform, ETL, Python, SQL)

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Hiring: Data Engineer (16 Positions)

Work Type: Onsite

Locations: Dallas / Irving / Hartford, CT

Note: Candidates must be authorized to work in the U.S. (American documented workers only).

Job Summary:

We are looking for a skilled Data Engineer with 2 years of hands-on experience in ETL development and data warehousing. The ideal candidate will have strong expertise in Google Cloud Platform (Google Cloud Platform) along with solid programming skills in Python and SQL. This role involves designing, building, and optimizing scalable data pipelines and data processing systems.

Key Responsibilities:

• Design, develop, and maintain scalable ETL pipelines and data workflows
• Build and optimize data processing systems on Google Cloud Platform
• Ensure data quality, reliability, and performance across pipelines
• Collaborate with cross-functional teams to support data-driven solutions
  
  

Required Skills & Qualifications:

• 2 years of experience in ETL development and data warehousing concepts
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
• Proficiency in Google Cloud Platform services, including:
• BigQuery
• Dataflow
• Dataproc
• Pub/Sub
• Strong programming skills in Python
• Expertise in writing complex and optimized SQL queries
• Good understanding of data modeling, data pipelines, and distributed data processing
  
  

Preferred Skills:

• Experience with workflow orchestration tools such as Apache Airflow.