Play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments.
Ensure the efficiency and reliability of our data pipelines.
Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems.
Assist in the development and testing of new features, models, or data processes within our data warehouses.
Document data processes, models, and workflows within our data warehouses for internal knowledge sharing.
Ensure integrity and quality of data throughout the entire data lifecycle.
Maintain security protocols and data governance practices.
Monitor performance and troubleshoot issues within ETL projects and related data environments.
Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools.

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred).
Strong proficiency in relational databases and data querying techniques.
Expertise in data modeling, ETL processes, and data integration techniques.
Experience with using programmatic tools for data manipulation and analysis.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Knowledge of data visualization tools like Power BI, Tableau, or similar.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Ability to learn quickly, be adaptable, flexible, and creative.
Demonstrated capability to work well independently and as part of a team.

IT Data Engineer

Key skills