What are the responsibilities and job description for the Data Engineer position at InComm Payments?
When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.
We are creating nearly 200 Fully Remote jobs in Brazil for various financial technology (Fintech) engineering, database, development, and testing teams.
InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future. We anticipate developing future leaders for our teams in Brazil!
Benefits include health and dental insurance, meal and restaurant vouchers, fixed monthly stipend for internet and mobile expenses, InComm hardware/software, and annual bonuses! All positions are CLT.
You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.
About This Opportunity
We're looking for a passionate Data Engineer to join our dynamic team, to help maintain and enhance our data infrastructure. This role is perfect for professionals who thrive in fast-paced environments and want to grow their careers while delivering impactful results.
Fluent or advanced English is required for daily communication with our international teams.
Responsibilities
Job Responsibilities:
- Designs and develops data warehouse, data analysis and reporting solutions using SQL Server database. Works with data visualization developers to determine solutions that help drive business value.
- Develops database objects, functions and structures for data storage, retrieval, and reporting.
- Designs and develops Extract, Transform and Load (ETL) solutions to populate the data warehouse.
- Develops automated and reusable routines for extracting requested information from database systems and/or enterprise management system.
- Defines, develops, tests, analyzes, and maintains software applications and back-end interfaces (if applicable) in support of business objectives.
- Builds analytic prototypes based on initial business requirements.
- Designs, runs, and monitors performance tests on new and existing systems for the purpose of correcting errors, isolating areas for improvement and general debugging. Writes programming scripts to enhance functionality and/or performance of company applications as necessary.
- Promotes strong quality practices by performing unit testing and providing appropriate level of support for user acceptance testing, as needed.
- Acts as a support resource for the technical support staff to ensure that customer-reported issues are being addressed in an efficient and accurate manner. Serves as a liaison with database administrators, developers, and vendors (if needed) to assist in resolving problems with systems.
- Maintains and tests the data warehouse in compliance with the company's disaster recovery plan.
- Conducts research on emerging software development solutions and standards in support of business needs.
- Collaborates with business leaders to design solutions.
Qualifications
Job description:
- Minimum 2-3 years of Azure experience
- Total 7 years of experience with 5-7 years’ as a Data Engineer in large enterprise environment
- Proficient with Azure Synapse orchestration and transformation tools and Azure Data Factory (Data Cloud)
- Very good experience with any of the ETL tools such as SSIS, Informatica, Pentaho and DevOps experience for source control and CI/CD deployments
- Should possess strong understanding of ETL concepts and data warehousing processes
- Should possess analytical, troubleshooting, and problem-solving skills – experience in analyzing and understanding 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 related field.
