GCP Big Data Architect

2 days ago

Greater Chennai Area, India Tiger Analytics Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 modern 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.

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.

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