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OUR STORY
Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.
OUR VALUES
Customer First. Customer satisfaction is our highest priority.
High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.
Essential design. We don’t chase trends, and we don’t sell everything. We’re expert curators that find the very best and bring it to you at the lowest prices.
Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.
Environmentally and Socially conscious. We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.
OUR TEAM AND SUCCESS
Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
Responsibilities
- Responsible for the execution and quality of the tools, services, datasets delivered by the Data Engineering team.
- Build and deploy scalable data engineering solutions on the cloud for engineering, analytics & data-science consumers.
- Be at the forefront with the business & engineering teams to learn, understand, identify and translate functional requirements into technical opportunities.
- Own the low-level design and implementation while maintaining high-quality of design /programming standards
- End-to-end module ownership of your functional area.
- Sharp focus on performance optimizations & continuous effort towards improving both read & write latencies.
- Researching on and integrating any big data tools and frameworks required to provide requested capabilities.
- Time split - 80% hands-on programming/execution/research and 20% stakeholder management depending on experience & exposure.
- Dealing with ambiguity & seeking to resolve those by collaborating with all necessary stakeholders.
- Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
Must Have:
- Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto)
- Experience with Message Queues(e.g. Apache Kafka/Kinesis/RabbitMQ)
- Proficiency in at least one of the following programming languages - Python, Java or Scala.
- Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or data extraction.
- Good understanding of data warehousing fundamentals.
- Good exposure to SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
- Experience with integrating data across multiple data sources.
- Good understanding of distributed computing principles.
- Strong analytical/quantitative skills and comfortable working with very large & varied sets of data.
Good To Have:
- Working knowledge of cloud-native (AWS preferred) services/tools.
- Experience with MPP data warehouses (e.g.Snowflake/Redshift).
- Proficiency in Apache Spark & Apache Kafka.
- Experience with any NoSQL storage(e.g.Redis/DynamoDB/Memcache).
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
