Senior Data Engineer

Help empower our global customers to connect to culture through their passions. Why you’ll love this role Help empower our global customers to connect to culture through their passions. Our Technology Team is on a mission to build the next generation e-commerce platform for the next generation customer. We build world-class, innovative experiences and products that give our users access to the world’s most-coveted products and unlock economic opportunity by turning reselling into a business for anyone. Our team uses cutting edge technologies that handle massive scale globally. We’re an internet-native, cloud-native company from day 1 - you won’t find legacy technology here. If you’re a curious leader who loves solving problems, wearing multiple hats, and learning new things, join us!  You will be empowered to build the next-generation e-commerce platform for the next-generation customer and leverage data to drive amazing customer experiences and business results. 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 will be creating and managing several datasets to translate 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 5 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 the premier current culture platform for buying and selling authentic, new, sought-after products. Our powerful marketplace connects buyers and sellers for sneakers, apparel, accessories, electronics, collectibles and trading cards around the world. We provide millions of global customers with unprecedented access and market visibility powered by real-time data, allowing them to transact based on true market value. Launched in 2016 in Detroit, Michigan, StockX now employs more than 1,500 people in offices and authentication centers in 11 countries.     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.