Overview
Hybrid
$100,000 - $120,000
Full Time
Skills
Google Cloud Platform
SQL
Data Engineering
Data Warehouse
Google Cloud
Data Build Tool
DBT
Job Details
Job Description:
We are seeking a Google Cloud Platform Data Engineer with hands-on experience with Google Cloud Platform (Google Cloud Platform) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation.
Key Responsibilities:
Design, build, and maintain scalable data pipelines on Google Cloud Platform, primarily using BigQuery.
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
Write complex and optimized SQL queries for data extraction, transformation, and analysis.
Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
Monitor and troubleshoot data pipeline performance and data quality issues.
Automate data workflows and tasks using Python scripts where necessary.
Ensure data governance, security, and compliance standards are met.
Required Qualifications:
Bachelor's degree in computer science, Information Systems, or a related field.
8+ years of experience in data engineering or a similar role.
Strong expertise in SQL with the ability to write efficient, complex queries.
Proficiency in DBT for data modeling and transformation
Hands-on experience with BigQuery and other Google Cloud Platform data services.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate skills in Python for scripting and automation.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Key Responsibilities:
Design, build, and maintain scalable data pipelines on Google Cloud Platform, primarily using BigQuery.
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
Write complex and optimized SQL queries for data extraction, transformation, and analysis.
Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
Monitor and troubleshoot data pipeline performance and data quality issues.
Automate data workflows and tasks using Python scripts where necessary.
Ensure data governance, security, and compliance standards are met.
Required Qualifications:
Bachelor's degree in computer science, Information Systems, or a related field.
8+ years of experience in data engineering or a similar role.
Strong expertise in SQL with the ability to write efficient, complex queries.
Proficiency in DBT for data modeling and transformation
Hands-on experience with BigQuery and other Google Cloud Platform data services.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate skills in Python for scripting and automation.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.