Data Engineer

Role Overview

The Data Engineer will work closely with data analysts, business teams, and application teams to deliver reliable, scalable, and secure data solutions. The role requires hands-on experience with Azure data services, SQL-based development, ETL/ELT pipelines, data warehousing concepts, and reporting integration.

What You Will Do

Design, develop, and maintain data pipelines using Microsoft Azure data services, build ETL/ELT processes, develop and optimize SQL queries, and support data warehouse and data lake implementations.

Why It Might Be a Fit

The ideal candidate should have strong hands-on experience with SQL Server, T-SQL, stored procedures, functions, indexing, and query optimization, as well as a good understanding of ETL/ELT concepts, data warehousing, dimensional modeling, star schema, and incremental data loads.

Requirements

• Strong hands-on experience with SQL Server, T-SQL, stored procedures, functions, indexing, and query optimization
• Working knowledge of Azure Data Factory for pipeline development, orchestration, scheduling, and monitoring
• Experience with Azure SQL Database, Azure Data Lake Storage, or related Microsoft data services
• Good understanding of ETL/ELT concepts, data warehousing, dimensional modeling, star schema, and incremental data loads
• Exposure to Power BI data preparation, semantic models, datasets, or reporting integration
• Basic to intermediate programming or scripting experience using Python, PySpark, or C#
• Understanding of data quality, metadata management, audit logging, and error handling in data pipelines
• Familiarity with Git, Azure DevOps, CI/CD concepts, and Agile delivery practices

Benefits

• Comprehensive benefits package
• Opportunity to meet with Career Coach for career goals and aspirations
• Inclusive culture that values diversity

Tagged as: Data Analysis, Pipeline Management, Power BI, Python, SQL