Cdw
SeniorDataEngineer
“Senior Data Engineer at Cdw. Skills: Databricks, Spark, Python, SQL. Build and maintain scalable data pipelines. Build and maintain ETL processes”
What You'll Achieve.
Deliver high‑quality, reliable data products; Deliver solutions; Achieve what’s possible through technology; Deliver for our customers; Deliver real impact for our customers; Deliver the full promise of technology
Industry & Context.
problem‑solving skills; Troubleshoot complex data processing issues
What They're Looking For.
Must Have
5 Years of experience designing, developing, and deploying data solutions on the Databricks platform, Proficiency in Python, Proficiency in PySpark, Proficiency in SQL, Hands‑on experience with Spark, Hands‑on experience with Delta Lake, Hands‑on experience with Lakehouse architectures, Experience implementing data quality, governance, and security practices across data pipelines
Nice to Have
Familiarity with machine learning concepts, tools, and libraries such as TensorFlow, PyTorch, Scikit‑learn, and MLflow, Experience configuring and integrating external AI models, Experience working with AI governance and monitoring tools, Experience with asynchronous programming patterns in Python for building scalable data or AI workloads
What You'll Do.
Build and maintain scalable data pipelines
Build and maintain ETL processes
Build and maintain ELT processes
Build and maintain data models
Design data and AI solutions
Develop data and AI solutions
Deploy data and AI solutions
Develop batch pipelines
Develop streaming pipelines
Design logical data flow diagrams
Design normalized schemas
Implement Lakehouse patterns
Ensure data integrity
Ensure data governance
Optimize data transformations
Monitor pipeline execution
Identify pipeline failures
Troubleshoot data processing issues
Support documentation of data processes
Support documentation of data standards
Support documentation of data flows
How You'll Work.
Team & Collaboration
Partner closely with architects; Partner closely with analytics teams; Partner closely with data science teams; Collaborate with data architects; Collaborate with analysts; Collaborate with data scientists; Collaborate with business stakeholders; Work together to deliver; Work together to solve complex challenges; Work together to deliver real impact
Communication Scope
communication skills
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