Senior Data Engineer consulting for Clarkston in data and analytics initiatives. Support teams, lead projects, and mentor the engineering team in delivering data solutions.
Responsibilities
**What You’ll Do**
As a Data Engineer Senior Consultant 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
**How You’ll Grow**
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:
Have the support and mentorship of your Clarkston colleagues and leaders
Expand your existing skill set with internal and external professional development opportunities
Requirements
*What We’re Looking For:*
An ideal Senior Data Engineer candidate would have experience:
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:
5+ years of experience in a 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
Knowledge of build processes that support data transformation, data structures, metadata, dependency, and workload management
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
Skilled in project management, including managing project plans, timelines, and deliverables
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
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
*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
Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.
Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.
Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.