| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | |||
| Actual Years Experience |
Years Experience Needed |
Required/ Preferred |
Skills/Experience |
| 8 | Required | Experience in IT, supporting the design, development, deployment, or delivery of technology solutions. | |
| 8 | Required | Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark. | |
| 8 | Required | Experience in data warehousing and dimensional data modeling (star/snowflake schemas). | |
| 8 | Required | Proficiency in SQL and Python (or Scala) for large-scale data processing. | |
| 8 | Required | Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps). | |
| 8 | Required | Experience implementing data governance, data quality, and data security practices. | |
| 8 | Required | Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines. | |
| 8 | Required | Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow). | |
| 8 | Required | Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders. | |
| 1 | Preferred | Experience working in public sector or state government environments. | |
| 1 | Preferred | Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional). | |
| 1 | Preferred | Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows). | |