Sr. Data Engineer - Furniture.com America LLC

Sr Data Engineer  

Furniture.com 

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. 

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 are 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 Spark/PySpark  
• Experience on distributed system & No SQL databases 
• 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 

Good to have: 

• AWS, Azure, or GCP cloud certification 
• Databricks certification 
• Prior experience with object-oriented programming languages 
• Experience on search engines (Elasticsearch/Algolia) 

The company is an equal opportunity employer. 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.  

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