Summary: The Data Engineer role at TechniPros focuses on leveraging Google Cloud Platform to design and optimize data pipelines, implement Medallion Data Architecture, and develop ETL processes. Candidates are expected to have extensive experience in data engineering and cloud technologies. This position is fully remote, offering a competitive pay rate. The role emphasizes collaboration with engineering teams to ensure best practices in cloud security and CI/CD.

Key Responsibilities:

• Design, build, and optimize data pipelines using Google Cloud Platform services including BigQuery, Dataflow, and Cloud Composer
• Implement Medallion Data Architecture patterns for scalable data processing
• Develop and maintain ETL processes using Python, PySpark, and SQL
• Manage data orchestration workflows with Airflow and ensure production-grade reliability
• Collaborate with engineering teams to implement CI/CD practices and cloud security best practices

Key Skills:

• 15+ years of experience in data engineering with strong Google Cloud Platform expertise
• Expertise in BigQuery (partitioning, clustering, query optimization)
• Proven experience implementing Medallion Data Architecture
• Strong programming skills in Python and PySpark
• Advanced SQL proficiency (complex joins, window functions, performance tuning)
• Hands-on experience with Cloud Dataflow, Cloud Composer (Airflow), and Google Cloud Storage
• Knowledge of Git, CI/CD practices, Google Cloud Platform IAM, and cloud security best practices

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT