Data Engineer

21/04/2025

About This Opportunity

We're looking for a passionate Data Engineer to join our dynamic team, helping to maintain and enhance our data infrastructure. This role is ideal for professionals who thrive in fast-paced environments and want to grow their careers while delivering impactful results.

Responsibilities

• Design and develop data warehouse, data analysis, and reporting solutions using SQL Server database. Collaborate with data visualization developers to determine solutions that drive business value.
• Develop database objects, functions, and structures for data storage, retrieval, and reporting.
• Design and develop Extract, Transform, and Load (ETL) solutions to populate the data warehouse.
• Create automated and reusable routines for extracting requested information from database systems and enterprise management systems.
• Define, develop, test, analyze, and maintain software applications and back-end interfaces in support of business objectives.
• Build analytic prototypes based on initial business requirements.
• Design, run, and monitor performance tests on new and existing systems to correct errors, identify areas for improvement, and debug. Write programming scripts to enhance functionality and performance of applications as necessary.
• Promote quality practices through unit testing and support for user acceptance testing as needed.
• Support technical staff to ensure customer-reported issues are addressed efficiently and accurately. Liaise with database administrators, developers, and vendors to resolve system problems.
• Maintain and test the data warehouse in accordance with the company's disaster recovery plan.
• Research emerging software development solutions and standards to support business needs.
• Collaborate with business leaders to design solutions.

Qualifications

• Minimum 2-3 years of experience with Azure.
• Total 7+ years of experience, with 5-7 years as a Data Engineer in a large enterprise environment.
• Proficient with Azure Synapse orchestration and transformation tools and Azure Data Factory (Data Cloud).
• Extensive experience with ETL tools such as SSIS, Informatica, Pentaho, and DevOps for source control and CI/CD deployments.
• Strong understanding of ETL concepts and data warehousing processes.
• Analytical, troubleshooting, and problem-solving skills, with experience analyzing business/technology system architectures, databases, and client applications.
• Ability to work with business and technology users to define and gather reporting and analytics requirements.

Education

Bachelor's Degree in Computer Science or a related field.

InComm is an equal opportunity employer, providing employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, among other protected categories.