Cdw
SeniorAnalyticsEngineer
“Senior Analytics Engineer at Cdw. Skills: Databricks platform, Python, SQL, ETL/ELT pipelines. Transform curated datasets into BI-ready semantic models. Transform curated datasets into dashboards”
What You'll Achieve.
Deliver trusted metrics; Deliver governed datasets; Deliver reliable analytics solutions; Deliver analytics solutions
Industry & Context.
problem-solving; analytical thinking
What They're Looking For.
Must Have
5 years of experience designing, developing, and deploying analytics and data solutions on the Databricks platform, Proficiency in Python, Proficiency in PySpark, Proficiency in SQL, understanding of cloud platforms such as AWS, Azure, or GCP, Experience with data warehousing, Experience with data lakes, Experience with Lakehouse architectures, Hands-on experience building and maintaining ETL and ELT pipelines, Experience using Git-based version control, Experience with CI/CD practices for data deployments, Understanding of data governance concepts, Unity Catalog fundamentals
Nice to Have
AI-fluent organization, Curiosity, Learner's mindset, Willingness to engage with ever-evolving technology and tools, Openness to experimentation, Shared interest in learning together on AI, Readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work, Embrace an AI mindset, Curious, Adaptive, Ready to explore what's possible, Thoughtful use of AI to expand your perspective and elevate how you share your story
What You'll Do.
Transform curated datasets into BI-ready semantic models
Transform curated datasets into dashboards
Transform curated datasets into analytics marts
Translate business requirements into governed data models
Translate business requirements into well-defined metrics
Define and document metric logic
Define and document data lineage
Define and document semantic layer standards
Maintain and support dashboards
Maintain and support analytics products
Design data solutions on Databricks
Develop data solutions on Databricks
Deploy data solutions on Databricks
Design AI solutions on Databricks
Develop AI solutions on Databricks
Deploy AI solutions on Databricks
Maintain ETL pipelines
Maintain ELT pipelines
Apply Lakehouse patterns
Apply data warehousing patterns
How You'll Work.
Team & Collaboration
Partners closely with stakeholders across data, analytics, and business teams; Collaborate with data engineers; Collaborate with data scientists; Collaborate with business stakeholders
Communication Scope
communication skills
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