Job Description

Key Responsibilities:

  • Build large-scale data and analytics solutions on GCP.
  • Develop and maintain data pipelines using Cloud Dataflow, Pub/Sub, Cloud BigQuery, and Cloud DataProc.
  • Work with Cloud BigTable, Cloud Storage, Spark, Hive, and AI/ML-based solutions.
  • Integrate large datasets from multiple sources and perform data modeling and transformation.
  • Design and implement data lake and data warehouse solutions.
  • Develop and optimize ETL workflows on GCP.
  • Implement DevOps practices and CI/CD pipelines for data engineering solutions.
  • Migrate data from legacy systems such as Oracle, Big Data platforms, and Netezza to GCP.
  • Write and maintain Python and PL/SQL code for data processing and integration.
  • Ensure performance optimization, scalability, and reliability of cloud-based data solutions.

Technical Requirements:


Skills Required
Terraform, Gcp, Pyth...

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