About the role
Part-Time Data Engineer (20 hours/week for 3-4 months)
What you'll be working on
Developing data pipelines and workflows using Azure Data Factory
Ingesting and transforming data stored in Azure Blob Storage using Data Factory
Loading data into Snowflake for analysis and reporting
Responsibilities
Design ETL processes and data flows to move data between various cloud platforms
Configure linked services, datasets and pipelines in Azure Data Factory
Orchestrate regular data extracts, transfers and loads
Monitor and troubleshoot data pipelines
Requirements
Experience building data integration solutions with Azure Data Factory
Hands-on working knowledge of Azure Blob Storage
Proficiency in SQL and data modeling concepts
Familiarity with Snowflake and cloud data warehousing best practices
Strong analytical and problem-solving skills
Attention to detail and ability to document processes
About the company
We are DataCEVA, a full-service data consulting firm and guide to data-driven excellence. We go beyond being a mere data consulting firm – we are your strategic partner in transforming businesses through insightful and decisive data solutions.
At DataCEVA, we believe your business should focus on being your business. That's why our expertise focuses on data design. We specialize in crafting dashboards that seamlessly transform into your daily navigation system.