Data Engineer I

Cloud Data Engineer, Supply Chain Data Engineering

Wayfair Data Engineering is the engine that powers our data obsessed eCommerce enterprise. We move fast, iterating quickly on big business problems. Data Engineering efforts are instrumental in further growing our market share in a $800 billion home goods market. Every day, we ingest billions of rows of data about how people pick out the perfect items for their home, and this data is what drives our business strategies and decisions. We build cutting-edge data platforms enabling advanced analytics and insights across our business and analytics teams. 

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. 

What You’ll Do

• 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 

What You Have [ Note - Overall experience level varies based on role requirement specified in Surge Contractor Request ]

• Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
• 1+ years of experience in Data Engineering role (including internships)
• 1-2+ years of programming experience with at least one language such as Python, Scala, Java, or other modern OOP programing language (including academia)
• 1-2+ years’ experience in writing SQL statements
• 1+ 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.

What we’d love to see (but isn’t required)

• Supply Chain or E-commerce analytics experience a strong plus
• Prior experience in data science or closely related quantitative field