Senior Manager- Data Engineering
Senior Manager- Data Engineering
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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 dont chase trends and we dont sell everything. Were 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. Were 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 cofounded by a team that has extensive experience in retail technology and building early stage companies. Youll work with a team of worldclass talent from Stanford GSB Google D.E. Shaw Stitch Fix Urban Outfitters Wayfair McKinsey Nike etc.
THE IDEAL CANDIDATE:
Manage and grow a crossfunctional dataengineering team responsible for both Data Products & Platform
RESPONSIBILITIES:
- Manage and grow a crossfunctional dataengineering 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 cuttingedge 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 timesensitive issues and bring them to appropriate closure
REQUIREMENTS:
- Total 912 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 datawarehousing fundamentals.
- Good exposure to SQL (TSQL/PLSQL/SPARKSQL/HIVEQL).
- 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.
Security Advisory: Beware of Frauds
At Quince were 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 Zoomnever via messaging apps or other calling services. Offers are meritbased 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.
Required Experience:
Senior Manager
Employment Type
Full Time
