JK Tech

Roles and Responsibilities :

• Data Strategy and Architecture : Develop and implement a comprehensive data strategy and architecture on GCP, utilizing services such as Google BigQuery, Cloud Dataflow, and Cloud Dataprep to optimize data ingestion, transformation, and storage.
• Data Integration : Lead efforts to integrate data from various sources into GCP, ensuring data pipelines are reliable, scalable, and maintainable using services like Cloud Pub/Sub, Dataflow, and Cloud Composer.
• Data Modeling and Warehousing : Design and maintain data models and warehouses using Google BigQuery and related tools, ensuring data is organized, accessible, and ready for analysis.
• Data Quality and Governance: Establish data quality standards and governance processes on GCP using services like Cloud Data Catalog and Data Loss Prevention to ensure data accuracy and compliance.
• Machine Learning Data Preparation: Collaborate with data scientists to provide clean, well-structured data for machine learning projects, leveraging GCP services like AI Platform Data Labeling and Vertex AI.
• Real-time Data Streaming: Implement real-time data streaming and processing solutions using Cloud Pub/Sub, Dataflow, and Bigtable to support real-time analytics and decision-making.
• Security and Compliance: Ensure data security and compliance with industry regulations by implementing GCP security features like VPC Service Controls, Identity and Access Management (IAM), and encryption.
• Cost Optimization: Monitor and optimize data storage and processing costs on GCP using tools like Cost Explorer and Budgets to align data initiatives with budget constraints.
• Performance Tuning: Continuously optimize data pipelines and queries for performance, using tools like BigQuery query optimization techniques and Cloud Monitoring.
• Documentation and Training: Maintain detailed documentation of data processes, architectures, and configurations on GCP and provide training to team members on best practices.
• Data Analytics and Reporting: Enable data-driven decision-making by developing data analytics and reporting solutions using GCP's Data Studio, Looker, or other relevant tools.

• Mandatory - Professional Cloud Data Engineer Certification