Join Our Dynamic Team
We are seeking a skilled Data Engineer to help maintain and enhance our data infrastructure. This role is ideal for professionals who thrive in fast-paced environments and are eager to grow their careers while delivering impactful results.
Fluent or advanced English is required for daily communication with our international teams. This is a fully remote, CLT position.
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, Load (ETL) solutions to populate the data warehouse.
- Create automated and reusable routines for extracting information from database systems and enterprise management systems.
- Define, develop, test, analyze, and maintain software applications and back-end interfaces to support business objectives.
- Build analytic prototypes based on initial business requirements.
- Design, run, and monitor performance tests on systems to identify errors and areas for improvement. Write scripts to enhance functionality and performance.
- Perform unit testing and support user acceptance testing to ensure quality.
- Support technical staff in resolving customer-reported issues. Liaise with database administrators, developers, and vendors as needed.
- 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 effective solutions.
Qualifications
- Minimum 2-3 years of Azure experience.
- Total 7+ years of experience, with 5-7 years as a Data Engineer in a large enterprise environment.
- Proficient with Azure Synapse orchestration, transformation tools, and Azure Data Factory.
- Experience with ETL tools such as SSIS, Informatica, Pentaho, and DevOps for source control and CI/CD.
- Strong understanding of ETL concepts and data warehousing processes.
- Analytical, troubleshooting, and problem-solving skills, with experience analyzing business and technology architectures.
- Ability to work with 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, committed to diversity and inclusion in the workplace.