GCP Big Data Architect (Hyderabad)

Job Description As an Architect, you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP. - Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP. - GCP experts with strong experience in working with up-to-date data integration frameworks, big data, and DevOps, and is proficient with data programming languages (e.g. Python, SQL). - Design and develop scalable data ingestion frameworks to transform a variety of datasets. - Solid knowledge in BigQuery, and other Paas offerings from GCP. - Innovate cloud-native data solutions such as database structures and functional capabilities, security, backup, and recovery specifications, etc. - Build and maintain data integration utilities, data scheduling, and monitoring capabilities, and source-to-target mappings and data lineage trees. - Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points. - Lead technical teams to deliver projects and accomplish business and IT objectives. #LI-UNPostJob Requirement Skills and Qualifications: - 8+ years of data engineering and/or data warehousing experience. - 4+ years of deep experience in building GCP data solutions using services such as storage, virtual machines, serverless technologies, parallel processing technologies, auto-scaling, etc. - Background in data with experience in architecture, data modeling, data engineering, and data governance using all different types of databases. - Working knowledge of agile development including DevOps concepts - Experience with GCP SDKs and programmatic access services - Proficient in a relevant data/development language for cloud platforms (e.g. R, Python, Java, C#/Unix) - Proficient in SQL - Cloud certifications are a plus. #LI-UNPost Job Description As an Architect, you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP. - Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP. - GCP experts with strong experience in working with up-to-date data integration frameworks, big data, and DevOps, and is proficient with data programming languages (e.g. Python, SQL). - Design and develop scalable data ingestion frameworks to transform a variety of datasets. - Solid knowledge in BigQuery, and other Paas offerings from GCP. - Innovate cloud-native data solutions such as database structures and functional capabilities, security, backup, and recovery specifications, etc. - Build and maintain data integration utilities, data scheduling, and monitoring capabilities, and source-to-target mappings and data lineage trees. - Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points. - Lead technical teams to deliver projects and accomplish business and IT objectives. #LI-UNPostJob Requirement Skills and Qualifications: - 8+ years of data engineering and/or data warehousing experience. - 4+ years of deep experience in building GCP data solutions using services such as storage, virtual machines, serverless technologies, parallel processing technologies, auto-scaling, etc. - Background in data with experience in architecture, data modeling, data engineering, and data governance using all different types of databases. - Working knowledge of agile development including DevOps concepts - Experience with GCP SDKs and programmatic access services - Proficient in a relevant data/development language for cloud platforms (e.g. R, Python, Java, C#/Unix) - Proficient in SQL - Cloud certifications are a plus. #LI-UNPost