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Description

Job ID: 40780

***Not able to use 3rd Party Agencies***

Analytics Engineering Lead

Data Engineers support our client’s Global Product and Merchandising Analytics team (GPMA) by collecting and synthesizing product and marketplace data across multiple areas of business, enriching and preparing the data to meet the business’s core reporting needs, and efficiently operationalizing sophisticated analytical models to help drive our client’s understanding of how to best position their products in the market. GPMA provides the core insights at the intersection of consumer segmentation & demand and product design & merchandising.

Most development will be in the enterprise warehouse or Spark (generally through SparkSQL), so strong SQL skills are required, but additional file integration of Excel docs, Avro or Parquet files, etc., will also be in scope, so general familiarity with Python is required. Academic understanding of ETL best practices as applied across batch and real-time integration and ingestion of data is important. The best candidate will have deep knowledge of best practices related to the operationalization of applied statistics / machine learning models in a cloud-native, distributed environment so that they can run efficiently and at scale. Strong communication is (as always) critical, as the data engineer’s primary responsibility will be to take input from Analysts and Product Owners to quickly understand and implement requirements. 

The GPMA team is highly cross-functional, and business and technology are closely integrated. Engineers are co-located with the business, and try to live and breathe the Agile process, so experience with the stand-up/sprint cadence and a culture of iterative development is desirable. One of the core benefits the engineering team offers the business is a stable SDLC (so business analysts aren’t directly changing production objects), as well, so familiarity with best practices around code promotion, integrated testing, and CI/CD is useful.

Beyond adherence to best practices, the lead’s responsibilities will be to help push forward the team’s thinking; the best candidate will have a pragmatic understanding of what can be done today given skill and resource limitations, balanced against a clear understanding and ability to demonstrate what can be done through selective application of advanced analytical models. Some experience developing and scaling applied statistical / ML models (ideally through Keras and Tensorflow/MXNet) is a key skill. Similarly, you will ideally provide guidance in the operations space, as well – we primarily work with AWS and the best candidates will have hands-on experience with the platform. All team members should be comfortable quickly responding and pivoting to meet shifting business needs, working closely to ensure that turnaround time of requests is handled as quickly as possible, and receiving and incorporating feedback. Our goal is to serve our business fast, course correct, and iterate. 

Analytics Engineering Lead Qualifications
Bachelor’s Degree in a software-related field.
3-5 years experience developing in a large enterprise environment.
4+ years SQL development.
4+ years Python development.
2+ years ETL development (Informatica, Matillion, SSIS, etc. is acceptable, but non-graphical/code-centric  experience is preferred).
Hands-on experience developing and scaling applied statistics / machine learning models is strongly preferred.
CI/CD and integrated testing experience is highly desirable.
Apache Airflow experience is a bonus.
Agile methodology experience is a bonus.


Benefits
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.

About VanderHouwen 
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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