Note: The job is a remote job and is open to candidates in USA. VITS Consulting Corp is seeking a Senior GCP Data Engineer to design, build, and support scalable cloud-based data solutions. The role focuses on developing reliable data pipelines, optimizing large-scale data processing, maintaining data architectures, and establishing modern data engineering practices while collaborating with cross-functional teams.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform
• Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub
• Develop workflow orchestration using Apache Airflow / Cloud Composer
• Write efficient, production-quality Python and SQL for data processing and transformation
• Design and maintain data warehouse and data lake architectures
• Develop appropriate data models for analytics and downstream applications
• Implement automated infrastructure using Terraform / Infrastructure as Code (IaC)
• Support CI/CD processes for data engineering applications and infrastructure
• Implement data-quality checks, validation, monitoring, logging, and alerting
• Troubleshoot pipeline performance and production data issues
• Partner with analytics, engineering, product, and business teams to translate requirements into scalable data solutions
• Follow appropriate data security, governance, and privacy practices when working with sensitive information

Skills

• 7+ years of professional experience in Data Engineering or related roles
• Strong hands-on experience with Google Cloud Platform (GCP)
• Extensive experience with BigQuery
• Hands-on experience building pipelines using Google Cloud Dataflow / Apache Beam
• Experience with Apache Airflow and/or Google Cloud Composer
• Strong programming skills in Python
• Advanced SQL Skills And Experience Working With Large Datasets
• Strong experience designing and implementing ETL/ELT pipelines
• Experience with data warehousing, data lakes, and data modeling
• Experience with GCP services such as Cloud Storage and Pub/Sub
• Experience with Terraform or similar Infrastructure-as-Code technologies
• Understanding of CI/CD and DevOps practices for data platforms
• Experience implementing data-quality, monitoring, and validation processes
• Experience working with healthcare, healthcare technology, or other highly regulated data environments
• Understanding of PHI, data privacy, security, and governance
• Experience with visualization and analytics platforms such as Looker, Tableau, or Power BI
• Exposure to machine learning, AI, or data science workloads
• Experience supporting high-volume, enterprise-scale data platforms

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