Software Development Engineer - 2 : Data Engineering at Quince

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Hadoop, Spark, Hive, Presto, Apache Kafka, Kinesis, RabbitMQ, Python, Java, Scala, REST Services, Data Warehousing, SQL, T-SQL, PL-SQL, SPARK-SQL

Industry

Retail

Description

ABOUT QUINCE Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First: We prioritize customer satisfaction in every decision. High Quality: True quality means premium materials and rigorous production standards you can feel good about. Essential Design: We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal: Innovation and transparency ensure value for both customers and partners. Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages. Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. OUR TEAM AND SUCCESS At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence. If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince. 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). WHY QUINCE? Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike. EQUAL OPPORTUNITY & HIRING INTEGRITY Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis. Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws. Security Advisory: Beware of Frauds 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.

Responsibilities

The role involves executing and ensuring the quality of tools, services, and datasets delivered by the Data Engineering team, alongside building and deploying scalable data engineering solutions on the cloud for various consumers. Responsibilities also include owning low-level design, implementation, and focusing sharply on performance optimizations for read and write latencies.