Our Client is seeking a Data Engineer.
Key Tasks:
- Responsible for building and maintaining ingestion
- Routinely partners with QA to define testing criteria for data accuracy and proactively updates
- Project Management on technical blockers, delivery timelines, and sprint progress without requiring micromanagement
Requirements
- 4-5 years of experience
- Very Strong Databricks Lakehouse principles and experience
- Hands-on Unity Catalog experience
- Experience developing Spark Declarative Pipelines (Lakeflow/DLT, autoloader)
- Deep experience with DBT model development, conversion, and refactoring
- Working knowledge of Azure DevOps CI/CD pipelines
- Familiarity with metadata-driven frameworks
- Exposure to Power BI and analytics consumption patterns
- Exposure to code generation and agentic engineering patterns
- Strong pipeline development capabilities
- Strong SQL and PySpark development skills
Required Non-Technical Skills Collaboration
- Strong partnership mindset
- Effective stakeholder engagement
- Excellent verbal communication skills
- Strong written communication skills
- Strong accountability
- Takes ownership of assigned deliverables
- Drives issues to closure Risk Management
- Raises alarms early when risks are identified
- Escalates blockers appropriately
- Proactively identifies project dependencies
- Communicates schedule or quality risks effectively Problem Solving
- Strong analytical skills
- Root cause analysis capabilities
- Ability to work closely with BI and QA teams
- Ability to participate in technical design discussions
- Ability to explain technical concepts clearly
- Ability to communicate blockers and dependencies effectively
- Ability to work independently
- Ability to investigate data discrepancies
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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