About The Role

As an GCP Technical Specialist, you will be responsible for migration to Google Data Cloud or implementing data solutions using Google Data Cloud services including integration with existing data and analytics platforms and tools.

7-9 Years of Data and Analytics experience with minimum 4 years in Google Data Cloud native services.

Excellent communication and presentation skills.
Extensive experience in Google Cloud stack – Google Cloud Storage, Google BigQuery, Google Data Flow, Google DataProc, Google Data Studio etc.
Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
Analyze, re-architect and re-platform on-premise data warehouses to data platforms on GCP cloud using native or 3rd party services.
Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
Good experience in designing & delivering data analytics solutions using GCP Cloud native services.
Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design. Good Experience in requirements analysis, gap analysis, requirements elicitation, requirements management and communication
Ability to create testing scenarios and Test cases as per business requirements
Ability to convert functional testing scenarios to technical scenarios and write queries accordingly to perform the QA activities
Experience in SDLC with emphasis on specifying, building, and testing mission critical business applications Working knowledge of JIRA, Confluence, and other Agile work management tools. Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
Experienced in internal as well as external stakeholder management
Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage.
Professional Google Cloud Data engineer certification will be added advantage
Nice to have skills: Working experience with Snowflake, Teradata, Databricks, Open source stack like Hadoop Bigdata, Hive etc.

Extensive experience in Google Cloud stack – Google Cloud Storage, Google BigQuery, Google Data Flow, Google DataProc, Google Data Studio etc.