Job Description

Candidates for this position are preferred to be based in Bangalore, and will be expected to

comply with their team's hybrid work schedule requirements.

Who We Are:

Wayfair is on a path to be the world’s largest online destination for the home. We are the largest

tech first platform in the home category. Our marketplace offers over 30 million products from

23,000 suppliers and we served 23 million customers in 2024 alone.

Wayfair is investing heavily in building a world class advertising business and the Wayfair

Advertising team owns features that form the core of our onsite advertising business. We ensure

that millions of ads served are relevant to our customers by enabling advertisers and agencies

to connect with the right customers at the right time with the right products. We are highly

motivated, collaborative and fun loving with an entrepreneurial spirit and bias for action. With a

broad mandate to experiment and innovate, we are growing at an unprecedented rate with a

seemingly endless range of new opportunities.

What What you'll do:

Drive the design, development, and launching of new data models, data pipelines, and
data products focussed on Search and Recommendations
Helping teams push the boundaries of analytical insights, creating new product features
using data, and powering machine learning models
Build cross-functional relationships to understand data needs, build key metrics and
standardize their usage across the organization
Utilize current and leading edge technologies in software engineering, big data,
streaming, and cloud infrastructure
Be a technical mentor to junior engineers

We Are a Match Because You Have:

Bachelor/Master degree in Computer Science or related technical subject area or
equivalent combination of education and experience
6+ years relevant work experience in the Data Engineering field with web scale data sets
Expertise with big data technologies & tools like Hadoop, Spark, Hive, Presto, Airflow etc.
Experience in cloud platforms such as GCP using technologies like Big Query, Dataproc, GCS, Cloud Composer, Dataflow or related technologies in AWS or Azure
Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake-schemas to enable self-service tooling
Expertise in at least one object-oriented or scripting language (Java, Scala, Python etc.) and SQL
Experience with real-time data streaming tools like Flink, Kafka, Beam or any similar
tools
Experience with designing data models for traditional relational databases or big data stores
Strong understanding of algorithms, data structures, data architecture, and technical designs
Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners
Experience with domain-driven design, event modeling, and event sourcing is preferred