Google Cloud (GCP) Data Engineer

Key Skills: Terraform, Python, ETL, GCP, Bigquery, Data Modelling, Data Migration

Roles and Responsibilities:

• 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 modelling, data exploitation/visualisation
• DevOps, CI/CD implementation
• Design and Build automated data pipelines
• Engineer Data engineering solution on GCP using Cloud Big Query, Cloud Function,
• Cloud Dataflow, Pub-Sub, Cloud Composer, Cloud storage Spark, Hive and AI/Ml solutions
• Extract, load, transform, clean and validate data

Skills Required:

• Hands-on experience on Google Cloud Platform
• Strong understanding on Google Cloud Platform (GCP) and its components
• GCP Professional certification (GCP Data Engineer)
• Experience on Data Migration from legacy systems (Oracle, Bigdata, Netezza) to GCP
• Cloud DataProc, Cloud Dataflow
• Pub-Sub, Cloud BigQuery, Cloud BigTable, Cloud storage Spark, Hive, Cloud Function, Cloud Composer
• Experience with Data lake, data warehouse ETL build and design
• Compute Engine, Cloud Fusion
• AI/ML solutions
• Python/Java/Spark Java experience preferable
• Terraform to build GCP services as IaaS

Education: Bachelor's or Master's degree in Computer Science