Feature Development, Testing & Security
Participate in the design, development, testing, and deployment of new features with support and guidance from senior team members.
Develop and test solutions within Databricks using established development, source-control, deployment, and security practices.
Implement security and data-protection measures using established standards and practices.
Perform unit and integration testing to support application functionality and reliability.
Create and maintain technical documentation, including specifications, diagrams, and implementation details.
Operations, Monitoring & Project Support
Monitor system performance and troubleshoot and resolve issues as needed.
Monitor and troubleshoot Databricks jobs, workflows, and data processing activities to support reliable and efficient operations.
Support project planning activities, including estimation, task coordination, and identification of dependencies.
Collaborate across technology teams to support continuous improvement of applications, integrations, and data solutions.
What You Will Need
Required Qualifications
2 years of relevant experience required.
Preferred Qualifications
Experience with programming languages commonly used in back-end development, such as Python, Java, C#, or Node.js.
Experience developing or supporting solutions using Databricks or a comparable cloud-based data platform.
Experience working with APIs, application integrations, databases, and data processing solutions.
Education
Bachelor’s degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Degree in Computer Science, Software Engineering, Information Systems, or a related field preferred.
Technical Competencies
Foundational experience with one or more server-side languages, such as Java, Python, Ruby, PHP, or Node.js.
Basic understanding of SQL and NoSQL database technologies, such as MySQL and MongoDB, including data querying and data structures.
Working knowledge of Databricks for developing, executing, and supporting data processing and integration solutions.
Familiarity with Databricks notebooks, jobs/workflows, clusters or serverless compute, and SQL-based data processing.
Foundational understanding of data engineering concepts, including ETL/ELT, data transformation, data quality, and data integration.
Familiarity with Git for source control, branching, merging, and collaborative code management.
Working knowledge of HTML, CSS, and JavaScript to support integration with front-end components and understand full-stack interactions.
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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here.