Skills

Data Governance Data Engineering Monitoring Architecture Data Architecture Google Cloud Platform cloud platforms Analytics GCP

Job Specifications

Google Cloud Data Engineer:

10+ years of Experience in Data Engineering and extensively worked on the Google Cloud Platform:

Key Responsibilities

• Data Architecture & Ingestion

• Design and implement scalable data ingestion pipelines using Cloud Dataflow, Pub/Sub, Datastream, or BigQuery Data Transfer Service.

• Migrate data from on-premises and other cloud platforms to GCP using Cloud Storage, Transfer Service, and Big Query.

• Data Transformation & Processing

• Build and orchestrate ETL/ELT workflows using Cloud Composer (Airflow), Dataform, or Dataflow.

• Transform structured, semi-structured, and unstructured data into analytics-ready formats.

• Data Modeling & Analytics

• Design efficient data models and partitioning strategies in BigQuery for high performance and cost optimization.

• Implement best practices for schema evolution, materialized views, clustering, and federated queries.

• Performance Optimization & Cost Governance

• Optimize BigQuery queries and pipelines for performance and cost.

• Implement monitoring and alerting using Cloud Monitoring, Cloud Logging, and Data Catalog.

• Security & Compliance

• Enforce data governance, lineage, and security policies using IAM, Data Catalog, DLP API, and VPC Service Controls.

• Ensure compliance with enterprise security and privacy standards.

About the Company

We accelerate business transformation by solving complex technology, business and talent challenges. A digital transformation Partner and Global consulting firm transforming clients business, operating and technology models for the digital era. Strong experience to support the industry providing change management and business process improvement services with a specialist knowledge in Procurement, Supply Chain and Logistics. Know more