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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