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Senior Data Engineer – Databricks
Clarkston ConsultingSenior Databricks Data Engineer delivering data engineering solutions for market leaders in life sciences, consumer products, and retail industries. Supporting team initiatives and mentoring data engineering staff.
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonScalaSQL
About the role
Key responsibilities & impact- **What You’ll Do **
- As a Senior Databricks Data Engineer at Clarkston you will:
- - 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- *What We're Looking For:*
- An ideal Senior Data Engineer candidate would have experience:
- - Designing, developing, and implementing data engineering solutions using Databricks on cloud platforms
- - Strong programming skills for data processing and automation in Python
- - Skilled in developing and maintaining data pipelines and workflows in Databricks using Python
- - Assembling large, complex data sets that meet functional / non-functional business requirements
- - Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- - Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
- - Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- - Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Additional Qualifications:
- - 3+ years of experience in a Databricks Data Engineer 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- *Our benefits include:*
- - 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Engineering SolutionsData Pipeline DevelopmentData TransformationRoot Cause AnalysisUnstructured Data AnalysisMessage QueuingStream ProcessingObject-Oriented ProgrammingData ArchitectureData Delivery Optimization
Soft Skills
Team LeadershipMentoringCollaborationProblem SolvingSelf-Direction