Data Engineer (Remote)

Overview:
Our client is seeking an experienced Data Engineer who will be responsible for the Design and maintain data pipelines and services using best practice for ETL/ELT, data management and data governance. 

Key Responsibilities:

• Contribute to the design, configuration, and support of data, analytics, and AI environments across Google Cloud Platform (GCP) and Microsoft Azure, including Microsoft Fabric -Build and maintain data pipelines to ingest, cleanse, transform, and curate structured and unstructured data 
• Support batch and near–real-time data ingestion and transformation workflows 
• Use Infrastructure as Code (IaC) tools (e.g., Terraform) to help automate cloud environment provisioning and configuration 
• Configure and support cloud services related to data ingestion, integration, messaging, CI/CD, and data processing 
• Assist with data modeling and performance optimization in cloud data warehouses (e.g., partitioning and clustering in BigQuery) 
• Support the setup and tuning of operational databases or data-serving layers based on defined use cases
• Implement and maintain monitoring, logging, and alerting for data pipelines and platforms 
• Write and maintain data transformations using SQL and Python 
• Collaborate with engineers, analysts, and product teams in an iterative, product-focused environment

Position Requirements:

• Bachelor's degree in Computer Science or Engineering from an accredited University or College.
  OR
• Associate’s degree in Computer Science or Engineering from an accredited University or College with two (2) years of experience.

Additional Information:

• Fully Remote
• W2 Candidates Only