Senior Data Engineer

Job Details

Senior Data Engineer

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. Come join us as a Senior Data Engineer, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

What You’ll Do

As a Senior 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 for our clients.
• 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

How You’ll Grow

Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

• Receive the support and mentorship of your Clarkston colleagues and leaders
• Expand your existing skillset with internal and external professional development opportunities

What We’re Looking For:

An ideal Senior Data Engineer candidate would have experience:

• Strong experience in building modern data platforms that leverage Azure Data Lake, Azure Data Factory and Azure Databricks. Should be proficient in PySpark, Python and SQL.
• Strong experience designing data models that meets business needs that meets design guidelines and standards is a must.
• Prior experience working/data modeling SAP/ERP data will be a plus.
• 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 Data Engineer role
• 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
• Experience supporting and working with cross-functional teams in a dynamic environment
• Demonstrated ability with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka
• Expertise with Azure or AWS cloud services
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field