Bigquery 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.

• 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.

• 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.

• 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.

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.

For applications and inquiries,