Sr. Data Engineer
4 days ago
Furniture.com is a high growth consumer tech start up that is addressing fundamental challenges in the $200B US furniture space. The company is a B2B and B2C digital aggregator with a simple mission: To make finding furniture easy.
For consumers, we make it easy to find the right furniture by enhancing search and streamlining the end-to-end customer experience. For retail partners, we deliver a digital platform allowing them to expand their reach with a high-intent, high value furniture audience.
Furniture.com is growing fast. Our team is comprised of furniture experts (obviously) as well as world class technologists and brand builders. We come from a variety of walks of life and can be found either in Atlanta or in NYC. We are backed by the investment arm of one of America’s largest furniture retailers, although we are independent and proudly building a technology in service of the furniture industry and furniture shoppers.
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We are looking for a Sr. Data Engineer to execute our Data Strategy roadmap. This role will be part of a new team accountable for building our critical data ecosystem.
You will bring together several diverse data payloads from external partners and customers into specialized data stores. You will work in close collaboration with data science, platform engineering, and product teams to build ETL pipelines, MDM solutions, and access control mechanisms to enable effective governance of the data for product delivery. This is a unique opportunity to be the first in a new department at a rapidly scaling startup.
What you will do:
Build and maintain scalable ETL pipelines effectively transform data from disparate data sources into a canonical data store
Design data architecture and partner with our infrastructure team to execute the build out of the data foundation
Operate current data ingest services while building the next generation of ETL pipelines
Define a common data vocabulary across the organization
Develop audit reports to provide insights into overall system health and resiliency
Contribute to the technology roadmap
What we’re looking for:
Bachelor’s degree in Information Technology, Computer Science, or related field
5+ years as a Data Engineer working on large scale ETL systems
AWS experience developing Integrations and analytical services
Demonstrated proficiency in Python and SQL
Experience with one or more commercial or open-source technologies like Databricks, Informatica, Talend, Airflow, Kafka is essential
Experience collaborating with data scientists and data analyst on projects related to forecasting, dashboards, and reports
Passionate about mentoring other team members and foster a culture of open feedback and communication
Able to communicate effectively with a technical and non-technical audience
Experience building web-based reporting solutions with data visualization technologies like Power BI, Tableau etc. is a plus
Able to contribute to prototypes and architecture by contributing code and designs
Experience working with Product Management in an Agile environment and break down complex features into manageable user stories
Demonstrated track record building data solutions based on a data lake is a plus
The company is a high growth consumer tech start up that is addressing fundamental challenges in the
$200B US furniture space. The company is a B2B and B2C digital aggregator with a simple mission: To
connect furniture customers with the products they desire. For consumers, we make it easy to find the
right furniture by enhancing search and streamlining their end-to-end customer experience. For retail
partners, we deliver a digital platform allowing them to expand their reach with a high-intent furniture
audience. The site experience and discovery tools will differentiate us. The site design and content will
drive brand recognition and loyalty allowing us to capitalize on this market.
We are backed by a top-5 furniture retailer in the US. The business is unique in that it will operate with the agility and innovation of a startup, yet with the robust resources and industry knowledge
set of an established brand.
The company is an equal opportunityemployer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws
Applicants must be authorized to work in the U.S. This role is hybrid work model and candidates must be able to commute to the NE Atlanta/Brookhaven area.
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