Fueled by the insights of the world's best, our client designs and creates products to elevate human potential on a global scale. As a Technology Lead for North America Data Engineering, you’ll use your technical expertise and leadership skills to work with diverse teams to bring cutting edge data products to life. This position is located in beautiful Beaverton, OR.
Our client is embracing Big Data technologies to enable data-driven decisions. As a tech lead, you will work with a variety of talented teammates and be a driving force for building solutions. You will be working on development projects related to marketplace performance, supply chain, and merchandising.
Analytics Tech Lead Responsibilities:
Help lead a team of data engineers, architects, and platform engineers to build innovative and sustainable data products that demonstrate business value.
Lead the design and build-out of reusable components, frameworks and libraries at scale to support analytics products.
Lead the design and implementation of product features in collaboration with business and technology stakeholders.
Anticipate, identify and solve issues concerning data management to improve data quality.
Help clean, prepare and optimize data at scale for ingestion and consumption.
Drive the implementation of new data management projects and refactoring of the current data architecture.
Help implement complex automated workflows and routines using workflow scheduling tools.
Lead the build-out of continuous integration, test-driven development and production deployment frameworks.
Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
Analyze and profile data for the purpose of designing scalable solutions.
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
Mentor and develop data engineers in career development and adopting best practices.
Analytics Tech Lead Qualifications:
Advanced experience building cloud scalable, real-time and high-performance data lake solutions leveraging AWS, EMR, EC2, S3, Spark, Hive & Lambda.
Experience with relational SQL, preferably Snowflake.
Experience with Python or another scripting language.
Experience with source control tools such as GitHub and related dev
Experience with Airflow or another scheduling tool.
Understanding of microservice architecture.
Strong understanding of developing complex data solutions.
Experience working on end-to-end solution design.
Experience preparing data to be analyzed and visualized (preferably with Tableau).
Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions.
Willing to learn new skills and technologies.
Has a passion for data solutions.
Strong understanding of data structures and algorithms.
Strong understanding of solution and technical design.
Has a strong problem solving and analytical mindset.
Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders.
Able to quickly pick up new programming languages, technologies, and frameworks.
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
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