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Senior Data Engineer / Databricks Developer
EPICO ABSenior Data Engineer / Databricks Developer focused on building Data Quality Monitoring capabilities on Databricks. Collaborating with technical and business stakeholders to ensure data quality in business-critical domains.
Tech Stack
Tools & technologiesETLPythonSparkSQL
About the role
Key responsibilities & impact- Design and implementation of a Databricks-native Data Quality Monitoring framework
- Configuration and implementation of DQX-based data quality rules
- Development of data pipelines and data models supporting monitoring and reporting
- Creation of dashboards and trending views for business users and data owners
- Linking data quality rules, data usage, and critical data points
- Documentation of technical design, rule logic, and operating model
- Supporting the scaling of the solution to additional data domains over time
- Working closely with data owners, business users, and technical stakeholders
Requirements
What you’ll need- Strong hands-on experience with Databricks
- Experience with Spark, SQL, Delta Lake, and Python
- Experience designing and implementing data pipelines / ETL-ELT
- Experience with data quality frameworks, preferably DQX
- Understanding of data governance, data ownership, and rule-based data quality monitoring
- Ability to translate business requirements into scalable technical solutions
- Ability to work independently and take end-to-end ownership
Benefits
Comp & perks- Flexibility
- Development
- Perfect match
ATS Keywords
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Hard Skills & Tools
DatabricksSparkSQLDelta LakePythondata pipelinesETLELTdata quality frameworksDQX
Soft Skills
independenceend-to-end ownershipcommunicationcollaborationproblem-solving