Full time Job Description: Primary Skill - • GCP Data engineering services – Big Query, Airflow, Data Proc, Data Flow • Data warehousing knowledge and good SQL skills. Working experience on data migration from On-premise to Cloud Roles and Responsibilities: • Collaborate with cross-functional teams to design and implement scalable and reliable systems on Google Cloud Platform considering optimal performance, security, and cost-effectiveness. • Build data ingestion pipelines to extract data from various sources (Azure Blob, Azure SQL, Flat files, Semi-structured sources, AWS S3) into the data warehouse in GCP. • Utilize GCP services to build robust and scalable data solutions. • Design, develop, and maintain data pipelines and implement data architecture on GCP using services such as Big Query, Cloud Storage, and Cloud Composer. • Expertise in tools and technology that help in the process of data collection, cleaning, transforming, and modeling data to achieve useful information. • Leverage GCP capabilities and technologies for migrating existing databases to cloud. • Implement and optimize Big Query tables and complex SQL queries for efficient data retrieval, performance, and efficiency. • Experience in Data Migration from On-premises Database to Big Query and experience in BQ conversion. • Experience and knowledge in building data pipelines and scheduling using Cloud Composer (Airflow) and data and file transformation using Python. EDW (Enterprise Data Warehouse) and Data Model Designing: • Experience with Data modeling, Data warehousing, and ETL processes. • Work closely with Business and analysts to design and implement data models for effective data representation and analysis. • Ensure data models meet industry standards and compliance requirements in the health-care domain. • Contribute to the design and development of the enterprise data warehouse architecture. • Implement best practices for data storage, retrieval, and security within the EDW. • Apply domain-specific knowledge to ensure that data solutions comply with health-care industry regulations and standards. • Stay updated on industry trends and advancements in health-care data management. • Work collaboratively with cross-functional teams, including Business Teams, analysts, and software engineers, to deliver integrated and effective data solutions. • Participate in code reviews and provide constructive feedback to team members. Qualifications (Required Technical skills/Experience): • Bachelor’s degree in computer science, Information Technology, or a related field. • Proficiency in GCP and in-depth knowledge of GCP services, Big Query, Cloud Functions, and Composer. • Strong programming skills in Data Engineering Python. • Experience with data modeling, SQL, and EDW design. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. • Proficiency in version control systems, particularly Git. • Strong understanding of Data warehouse concepts and data lakes. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Apply Job!