Description

• Build large scale data and analytics solutions on GCP
• Use modern data/analytics technologies on-premise and Cloud
• Efficiently use the GCP platform to integrate large datasets from multiple data sources, analyse data, data moClienting, data exploitation/visualisation
• Build large scale data and analytics solutions on GCP
• Use modern data/analytics technologies on-premise and Cloud
• Efficiently use the GCP platform to integrate large datasets from multiple data sources, analyse data, data moClienting, data exploitation/visualisation
• Design and Build automated data pipelines
• Engineer Data engineering solution on GCP using Cloud BigQuery, Cloud DataProc,
• Cloud Dataflow, Pub-Sub, Cloud BigTable, Cloud storage Spark, Hive and AI/Ml solutions
• DevOps, CI/CD implementation
• Extract, load, transform, clean and validate data

Qualifications:

• Desired Experience Range- 4 to 6yrs

Must-Have

• (Ideally should not be more than 3-5)

Good-to-Have

• Design and Build automated data pipelines
• Engineer Data engineering solution on GCP using Cloud BigQuery, Cloud DataProc,
• Cloud Dataflow, Pub-Sub, Cloud BigTable, Cloud storage Spark, Hive and AI/Ml solutions
• DevOps, CI/CD implementation
• Extract, load, transform, clean and validate data

Key Skills

Education

Bachelor's degree