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?? 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 Now