Job Description

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. THE IDEAL CANDIDATE: Manage and grow a cross-functional data-engineering team responsible for both Data Products & Platform RESPONSIBILITIES: Manage and grow a cross-functional data-engineering team responsible for both Data Products & Platform Mentor a group of highly skilled junior & senior engineers by providing technical management, guidance, coaching, best practices and principles Active participation in the design, development, delivery, and maintenance of data products & platform Responsible for OKR planning, resource planning, execution, and quality of the data products & tools delivered by the group Lead the group to build sophisticated products using a cutting-edge cloud native technology stack. The products will be used by various internal customers like Data Analysts, ML Engineers & Data Scientists, Management & even external stakeholders Work closely with various business stakeholders like the Product Management Team and other Engineering teams to drive the execution of multiple business strategies and technologies Act as a point of contact for TCO (total cost of ownership) for Data Platform(Ingestion, Processing, Extraction & Governance) Manage and drive production defects & stability improvements to resolution Ensure operational efficiency and actively participate in organizational initiatives with the objective of ensuring the highest customer value Tailor processes to help manage time-sensitive issues and bring them to appropriate closure REQUIREMENTS: Total 9-12 Years of experience. First hand exposure in managing large scale data ingestion, processing, extraction & governance processes. Experience in Big Data technologies(e.g. Apache Hadoop, Spark, Hive, Presto) Experience with Message Queues(e.g. Apache Kafka, Kinesis, RabbitMQ) Experience with Stream Processing technologies (e.g. Spark Streaming, Flink) 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 serving. Good understanding of traditional 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 ability to connect Data with business outcomes.