ETL/Database Developer

The ETL/Database Developer at North Stone is responsible for designing, implementing, and optimizing ETL processes that support the company's data warehousing and business intelligence goals. This includes working with DHA/Cerner healthcare data, engaging in data analysis and mapping activities, and ensuring the integrity of data during migration. Additionally, the role involves supporting data science teams and improving existing ETL workflows, showcasing a robust understanding of various database systems and ETL tools.

To qualify for the ETL/Database Developer role at North Stone, candidates must hold a Bachelor’s Degree in a relevant field such as Engineering or Computer Science and possess at least 5 years of experience in the field. Active Secret clearance is necessary, alongside a strong understanding of healthcare data integration, SQL Server, and experience with ETL tools like SSIS and Talend. Familiarity with container application platforms and data modeling concepts will also be beneficial.

North Stone is committed to the professional growth of ETL/Database Developers by providing opportunities to work with cutting-edge technologies and complex healthcare data sets. The company encourages team members to engage in continuous learning through involvement in innovative projects, collaboration with data science teams, and participation in client meetings to capture requirements. This not only enhances individual skill sets but also contributes to the greater mission of improving healthcare data solutions.

ETL/Database Developers at North Stone will primarily work with major cloud platforms such as AWS and Azure. They will engage with services like RedShift for data warehousing and manage various database systems including SQL Server and MySQL. The role involves designing integrations across both public and private cloud environments to streamline data processes, making experience with these platforms essential for success in the position.

As an ETL/Database Developer at North Stone, you will be involved in various projects aimed at optimizing ETL processes, supporting data migrations, and enhancing data quality in healthcare settings. You’ll work on integrating systems, collaborating with data analysts and business stakeholders, and developing comprehensive data strategies that help drive business intelligence and reporting efforts.

In responding to this question, focus on specific ETL tools you have utilized, such as SSIS or Talend, and discuss particular projects where you've successfully implemented ETL processes. Emphasize your experience with healthcare data, especially if you've worked with DHA/Cerner data, and mention any challenges you faced and how you overcame them.

This is a critical component of data management. Be sure to mention validation methods you employ post-migration, including data profiling, cleansing techniques, and the importance of maintaining accurate data mappings. Highlighting any specific tools or practices that help in this area will strengthen your response.

Discuss various strategies you've applied, such as using incremental loads rather than full loads, optimizing SQL queries, and leveraging parallel processing. Providing examples of performance improvements you've achieved can illustrate your effectiveness in this area.

Here, highlight specific versions you've worked with and any relevant hands-on experience. Discuss your proficiency with T-SQL and how you've used it for complex query writing, stored procedures, or triggers, demonstrating your thorough understanding of database management techniques.

Explain your approach to documenting ETL workflows and configurations. Emphasize the importance of clear and concise documentation in facilitating communication with stakeholders and ensuring process transparency. Mention tools or templates you use for effective documentation.

In your answer, be specific about the methods you utilize, such as monitoring query execution plans, indexing strategies, or adjusting load timings. Discuss how these techniques have led to measurable improvements in system performance.

Prepare a detailed story that illustrates your problem-solving skills. Discuss the project scope, the specific challenges you faced (e.g., data inconsistencies, tight deadlines), and how you successfully navigated those challenges to achieve your goals.

It's important to highlight your communication skills and collaborative efforts. Discuss how you share insights with data scientists, aid in refining data models, and adjust ETL processes based on their analytical requirements to facilitate better data usage.

If applicable, share any experience you have with platforms like OpenShift. Discuss specific projects where containerization improved your workflows or deployment strategies in the ETL process, underscoring your adaptability to modern development environments.

Describe the software tools and methodologies you have employed for data mapping, like Talend or Informatica. Discuss how you've utilized these tools to create efficient data pipelines and facilitate meaningful data analysis to support business intelligence objectives.