Senior Databricks Data Engineering Consultant

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. As a Senior Databricks Data Engineering Consultant, you will deliver creative business solutions to market-leading clients in various industries, supporting data and analytics initiatives while leading and mentoring a data engineering team.

Responsibilities:

• 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:

• 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
• 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