Data Engineer

About the Role

We are looking for a talented Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining scalable data integration and transformation solutions that support business intelligence and analytics initiatives.

The ideal candidate has a strong technical background in data engineering, enjoys solving complex data challenges, and thrives in a collaborative, fast-paced environment.

What You’ll Do

• Design, develop, and optimize ETL/ELT processes to ensure reliable and efficient data pipelines.
• Build, maintain, and enhance data integration workflows and reporting solutions.
• Develop and optimize SQL queries, stored procedures, and database objects.
• Collaborate with business and technical stakeholders to translate business requirements into scalable data solutions.
• Ensure data quality, integrity, and performance across multiple data sources.
• Support and optimize cloud-based data solutions within the Microsoft Azure ecosystem.
• Contribute to continuous improvement initiatives, automation, and best practices.

Required Qualifications

• Proven experience as a Data Engineer or in a similar data-focused role.

Strong experience with:

• Power BI
• Databricks
• DBT
• Snowflake
• Transact-SQL (T-SQL)
• SQL Server Integration Services (SSIS)
• SQL Server Reporting Services (SSRS)
• Azure SQL Database
• Strong understanding of data integration, data modeling, and ETL/ELT concepts.
• Excellent SQL development and database optimization skills.

Preferred Qualifications

Experience with one or more of the following is a plus:

• Azure Data Factory
• Azure Data Lake
• SQL Server Data Warehouse
• PL/SQL
• Oracle SQL Developer
• Azure DevOps
• Git Flow
• Continuous Integration (CI/CD)

What We’re Looking For

• Strong analytical and problem-solving skills.
• Ability to translate business needs into effective technical solutions.
• Experience working with cloud-based data platforms, preferably Microsoft Azure.
• Excellent communication and collaboration skills.
• Self-motivated, proactive, and results-driven.
• Ability to work effectively in Agile and cross-functional teams.