Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding. Overview The position is responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer(s) will support our software developers, data architect, and data analysts on data initiatives. You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing the company's data warehouse to support the next generation of products and data initiatives. Job Duties & Responsibilities Build both real-time and batch data integrations from disparate source systems into the EDW. Work with data and analytics experts to strive for superior functionality in our data systems. Write complex queries for reporting and the application consumption. Assemble large, complex data sets that meet functional and non-functional business requirements. Design and implement real-time ETL and batch processing of information to support modeling and reporting needs. Provide production support for data integration and transformation pipelines. Scale and tune data pipelines, databases, and SQL queries. Build and maintain data reconciliation processes. Responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. Connect data to users in mixed cloud and on-prem environments. Identify ways to improve data reliability, efficiency, and quality. Partner with data architect & analysts to support modeling and reporting needs and to build and maintain internal data processing and visualization. Translate requests into replicable analytic reports using varying applications. Create tools to serve data such as APIs and packages, as needed. Troubleshoot and provide root cause analysis for database software and data integrity issues Minimum Qualifications Bachelor s degree in Computer Science or related technical field or equivalent practical experience. 2 years of experience in Information Technology with a focus on Business Applications, Data Engineering, Data Architecture, Data Analytics and Science. Good understanding of data warehousing and Business Intelligence environments. Excellent problem solving, critical thinking, and communication skills. Experience with distributed source code version control system (e.g. git). Experience with ticketing system (ServiceNow; JIRA etc.). Expertise with Python, databases, and SQL expertise. Strong analytic skills related to working with unstructured datasets. Experience with data pipeline and workflow management tools Preferred Qualifications Experience with Azure environment such as Synapse, Azure SQL DB, Azure ML Pipeline, Azure Data Factory. Knowledge of machine learning and data science processes. Experience building reports and dashboards using BI tools. Basic knowledge of statistics. Stellar communications skills for requirements gathering Disclaimer This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands. At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement. A background check and screen for the illegal use of drugs is required. A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor” A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

Requirements

Must-haves

Job Duties & Responsibilities
Build both real-time and batch data integrations from disparate source systems into the EDW.
Work with data and analytics experts to strive for superior functionality in our data systems.
Write complex queries for reporting and the application consumption.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Design and implement real-time ETL and batch processing of information to support modeling and reporting needs.
Provide production support for data integration and transformation pipelines.
Scale and tune data pipelines, databases, and SQL queries.
Build and maintain data reconciliation processes.
Responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
Connect data to users in mixed cloud and on-prem environments.
Identify ways to improve data reliability, efficiency, and quality.
Partner with data architect & analysts to support modeling and reporting needs and to build and maintain internal data processing and visualization.
Translate requests into replicable analytic reports using varying applications.
Create tools to serve data such as APIs and packages, as needed.
Troubleshoot and provide root cause analysis for database software and data integrity issues
Bachelor s degree in Computer Science or related technical field or equivalent practical experience.
2 years of experience in Information Technology with a focus on Business Applications, Data Engineering, Data Architecture, Data Analytics and Science.
Good understanding of data warehousing and Business Intelligence environments.

Nice-to-haves

Experience with Azure environment such as Synapse, Azure SQL DB, Azure ML Pipeline, Azure Data Factory.
Knowledge of machine learning and data science processes.
Experience building reports and dashboards using BI tools.
Basic knowledge of statistics.
Stellar communications skills for requirements gathering

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqljirapythonazuremlmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental