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Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQLUnity
About the role
Key responsibilities & impact- Transform curated datasets into BI‑ready semantic models, dashboards, and analytics marts.
- Translate business requirements into governed data models and well‑defined metrics.
- Define and document metric logic, data lineage, and semantic layer standards.
- Maintain and support dashboards and analytics products.
- Design, develop, and deploy data and AI solutions on the Databricks platform.
- Build and maintain ETL and ELT pipelines.
- Collaborate with data engineers, data scientists, and business stakeholders to deliver analytics solutions.
Requirements
What you’ll need- 5 years of experience designing, developing, and deploying analytics and data solutions on the Databricks platform.
- Proficiency in Python, including PySpark, and SQL.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP.
- Experience with data warehousing, data lakes, and Lakehouse architectures.
- Hands-on experience building and maintaining ETL and ELT pipelines.
- Experience using Git‑based version control and CI/CD practices for data deployments.
- Understanding of data governance concepts, including Unity Catalog fundamentals.
- Strong problem‑solving, analytical thinking, and communication skills.
Benefits
Comp & perks- CDW is committed to being an AI-fluent organization
- Fostering an equitable, transparent, and respectful hiring process for all applicants.
- 401(k) matching
- Professional development opportunities
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPySparkSQLETLELTdata warehousingdata lakesLakehouse architecturesdata governanceCI/CD
Soft Skills
problem-solvinganalytical thinkingcommunication
