Google Cloud Platform Data Engineer

Role: Google Cloud Platform Data Engineer
Location: Remote (US)
Duration: 12 Months

Job Description:

We are seeking an experienced Google Cloud Platform Data Engineer to design, develop, and support scalable cloud-based data solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong expertise in BigQuery, DBT (Data Build Tool), and advanced SQL, along with experience building modern ETL/ELT pipelines and data warehouse solutions. This role also requires working knowledge of Python for scripting, automation, and data processing while collaborating with cross-functional teams to deliver reliable and high-quality data solutions.

Key Responsibilities:

• Design, build, and maintain scalable data engineering solutions using Google Cloud Platform services.
• Develop and optimize data transformation workflows and reusable data models using DBT.
• Build, enhance, and tune complex SQL queries for data extraction, transformation, reporting, and analytics.
• Manage, optimize, and troubleshoot large datasets within BigQuery to improve performance and efficiency.
• Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and integration.
• Implement data warehouse solutions using industry best practices for dimensional modeling and data architecture.
• Utilize Python to automate data processing, scripting, and operational tasks.
• Partner with business users, data analysts, architects, and technical teams to gather requirements and deliver scalable data solutions.
• Ensure data accuracy, consistency, governance, and quality across enterprise data platforms.
• Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, and performance.
• Maintain source code using Git and support version control best practices.
• Participate in code reviews, documentation, and continuous improvement initiatives.

Required Skills:

• 3–5+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Proven expertise with BigQuery for large-scale data processing and analytics.
• Experience using DBT (Data Build Tool) for data transformation, modeling, and workflow development.
• Advanced proficiency in SQL, including query optimization and performance tuning.
• Strong understanding of data warehousing, dimensional modeling, and ETL/ELT methodologies.
• Working knowledge of Python for scripting, automation, and data engineering tasks.
• Experience with Git or other version control systems.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication skills with the ability to work effectively in cross-functional teams.

Preferred Skills:

• Experience with Google Cloud Platform services such as Cloud Storage, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and Cloud Functions.
• Familiarity with workflow orchestration tools including Apache Airflow or Cloud Composer.
• Knowledge of CI/CD pipelines, DevOps practices, and deployment automation.
• Understanding of data governance, data quality frameworks, and metadata management.
• Experience working in Agile/Scrum development environments.

Qualifications:

• Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Google Cloud Professional Data Engineer certification is preferred and considered an advantage.