Help empower our global customers to connect to culture through their passions.
Why you’ll love this role
As a Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.
What you'll do
- Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
- Build and support reusable framework to ingest, integration and provision data
- Automation of end to end data pipeline with metadata, data quality checks and audit
- Build and support a big data platform on the cloud
- Define and implement automation of jobs and testing
- Optimize the data pipeline to support ML workloads and use cases
- Support mission critical applications and near real time data needs from the data platform
- Capture and publish metadata and new data to subscribed users
- Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
- Participate in design and code reviews
- Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform
About you
- Minimum of 3 years’ experience in distributed systems like Data warehouse / Data lake technical architecture
- 3+ years of experience in using programming languages (Python / Scala / Java / C#) to build data pipelines
- Minimum 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark, Databricks), Real time processing (e.g. Kafka, Flink/Spark Streaming)
- Minimum of 2 years' experience with AWS or engineering in other cloud environments
- Advanced proficiency in SQL and familiarity with DBT
- Experience with Database Architecture, Schema design
- Strong familiarity with batch processing and workflow tools such as AirFlow, NiFi
- Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
- Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
- Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Bachelor's degree in Computer Science, or a related technical field
- Nice to have:
- Masters in Computer Science or related quantitative field
About Us
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from artists including KAWS and Takashi Murakami; and electronics from industry-leading manufacturers Sony, Microsoft, Nvidia, and Apple. Launched in 2016, StockX employs more than 1,000 people across offices and verification centers around the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.
StockX reserves the right to amend this job description at any time.
