Cloud Data Engineer, Wayfair
Physical Retail
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- 5+ years of experience in Data Engineering role
- 3+ years of programming experience with at least one language such as Python, Scala, Java, or other modern OOP programing language
- 3+ years’ experience in writing SQL statements
- 3+ years’ experience with schema design and dimensional data modeling
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
- Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. ( GCP is preferred , GCP certification is even better)
- Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools
- Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow, dbt, Glue, and Beam
- Experience in development of custom built BI and big data reporting solutions using tools like Looker, DataStudio, or any similar tools
- Experience with code management tools (e.g., Git, SVN) and DevOps tools (e.g., Docker, Jenkins)
- Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners
- Ability to learn quickly and drive deliverables while maintaining ownership/bias
- A team player who is at ease delivering in a group setting
Desirable
- Supply Chain or E-commerce analytics experience a strong plus
- Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
- Prior experience in data science or closely related quantitative field
What the job involves
- As a cloud data engineer, you will be a hands-on developer who designs, and delivers Data Warehouses, Data Lake, Self-service tooling, Real-time streaming, and Big Data Solutions for our rapidly growing Supply Chain Operations
- Working within the Data Engineering organization, this individual will tightly partner with business, product managers and engineering leaders to build data platforms enabling these goals
- You will be instrumental in building out the data pipelines to ensure our data is generated, transformed, and mutated over time, working to build a cohesive, scalable, accurate, and performant foundational source of truth upon which all data & analytics users across the company will build
- Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements
- Deliver Data Engineering capabilities for streaming and batch-based data ingestion, enrichment, and aggregation
- Design and develop sophisticated data models and visualizations that support multiple use cases across different products or domains
- Define and manage SLA for all data sets in allocated areas of ownership
- Work closely with data architect, SMEs, and other technology partners to develop & execute on the data architecture roadmap for different functional areas
- Mentor and grow technical skills of engineers across multiple sprint teams by giving high quality feedback in design and code reviews and providing training for new methods, tools, and patterns
- Collaborate with your stakeholders and other business analytics team leaders
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job