Data Engineer II, Global Supply Technology

Bangalore, Karnataka
Permanent
Full-time

7 days ago

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.Who We Are:Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently.The Data Engineering team within the GST fulfills large-scale data needs for its data scientists, machine learning and analytics covering both batch and real-time use-cases. Your work will have a direct impact on all applications that our millions of customers interact with every day: search results, homepage content, emails, auto-complete searches, browse pages and product carousels.What you'll do:

Drive the design, building, 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
As a Data Engineer, you will be part of the newly formed Data Engineering team and be responsible for creating a curated data lake . This role is inherently multi-functional, and the ideal candidate will work with Data Scientist, Analysts, Application teams across the company, as well as all other Data Engineering squads at Wayfair.
We are looking for someone with a love for data, handling ambiguous requirements and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products.

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
3+ years relevant work experience in the Data Engineering field with web scale data sets
Expertise in at least one object-oriented or scripting language (Java, Scala, Python etc.) and comfortable working with SQL
Experience 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 other cloud platforms like AWS, Azure etc.
Familiarity with Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. (preferred)
Strong understanding of algorithms, data structures, data architecture, and technical designs.
Excellent communication and presentation skills.

About Wayfair Inc.Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.Your personal data is processed in accordance with our Candidate Privacy Notice ( ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at .

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