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Über
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
3 to 5 years' experience in data warehouse / data lake house technical architecture
3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
Minimum of 2 years' experience with AWS or engineering in other cloud environments
Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
Experience with Database Architecture/Schema design
Strong familiarity with batch processing and workflow tools such as dbt, 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
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $140,000 to $160,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies may vary.
About StockX 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 brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at
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.
StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
Sprachkenntnisse
- English
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