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Senior Data Modeler – Databricks
Clarkston ConsultingSenior Data Modeler delivering data solutions for life sciences and retail industries at Clarkston Consulting. Leading data initiatives and mentoring engineering teams in a hybrid work environment.
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonScalaSQL
About the role
Key responsibilities & impact- Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
- Serve in a lead capacity on client initiatives
- Ensure optimal data delivery architecture is consistent throughout ongoing projects
- Be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
- Be excited by the prospect of building our company’s data engineering capabilities to support our next generation of products and data initiatives
- Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
- Assist in defining client solutions and support managing their delivery
Requirements
What you’ll need- 3+ years of experience in a Data Modeler role
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience with Azure or AWS cloud services
- Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field
Benefits
Comp & perks- Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
- 401k with company contributions
- Paid vacation, personal days, holidays, and sick leave
- Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
- Life and Disability Insurance
- Training and Professional Development investments, Tuition Assistance, and more
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ModelingSQLBig Data Pipeline DevelopmentData TransformationRoot Cause AnalysisUnstructured Data AnalysisMessage QueuingStream ProcessingObject-Oriented Programming (Scala, Python, Java, C++)Relational Databases
Soft Skills
Analytic SkillsSelf-DirectedCollaboration