Tech Stack
AWSAzureETLGoogle Cloud PlatformSQLSSIS
About the role
- Join our team and contribute directly to large, complex projects;
- Work in Microsoft Azure cloud environments.
Requirements
- Solid experience as a Data Engineer on large-scale projects;
- Proven expertise with major cloud providers (Azure, AWS, or GCP), with a strong preference for Azure;
- Advanced knowledge of data architecture and data engineering best practices;
- Proficiency in SQL, ETL, and data modeling (dimensional and relational);
- Experience with Azure tools and services such as Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric;
- Excellent communication skills for interacting with clients and internal teams;
- Certifications such as Azure Data Engineer or similar are a plus;
- Knowledge of other ETL solutions such as SSIS, Alteryx, Pentaho, and Talend;
- Experience with Power BI and the Microsoft Power Platform.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureSQLETLdata modelingdimensional modelingrelational modelingAzure Data FactoryDatabricksAzure Synapse
Soft skills
communication skills
Certifications
Azure Data Engineer