Job Location: Bangalore/Bengaluru
Hope this email finds you at your best.
Zivame was founded in 2011 with the vision to facilitate women to shop uninhibitedly for intimate
wear and to make lingerie shopping comfortable. Zivame is now the No. 1 online lingerie company
in India with 90 + retail stores and presence in 1500 + partner stores across India. Our Mission is to
be the destination for every woman’s intimate needs. We believe that every woman is unique, and
we want to deliver a platform that allows her to browse, discover and shop what is right for her.
All the products at Zivame stem from the desire to design something that is a blend of quality and
comfort. Zivame offers trendy lingerie, activewear, sleepwear, and shapewear in over 6000 +
exclusive designs and 100 + sizes catering to women across all body types.
We are looking at extensive growth in the next 2 years and building our tech team to scale up the business.
As Data Engineers you would be:
Roles & Responsibilities
1. The candidate for this role will need to have a strong track record of developing and
delivering scalable data engineering systems
2. He/She will work very closely with cross-functional teams, data scientists, and
product managers to shape the upcoming data products
3. The candidate should have excellent management and delivery skills combined with
several years of hands-on experience
4. Design, architect, and drive implementation of key systems, components & modules
5. Establish and follow best practices, including coding standards and technical task
management
Skills & Experience Required
1. BS/MS in Computer Science or equivalent from a premier institute with 2 to 5 years
of data engineering experience
2. Hands-on knowledge & proficiency of Python/Scala/Java
3. Work with stakeholders throughout the organization to identify opportunities to
leverage data to drive business solutions
4. Strong software design/development experience in building massively large scale
distributed systems around Business Intelligence, Data Warehousing, Analytics &
Reporting
5. Strong in Design principles & patterns for storage systems using SQL or NoSQL
databases should be comfortable with data modeling
6. Hands-on experience with Big-data ecosystem technologies like Hive, Spark, MR,
Presto, HBase, Kafka
7. Expertise in multi-threading and performance-oriented systems
8. Preferred: Experience in deploying data-science models in production and designing
production pipelines to measure KPIs of Models
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