GoKwik was founded in 2020 with one simple mission, to democratize the shopping experience and increase the GMV realization for e-commerce businesses. The company is backed by Sequoia Capital India, Matrix Partners India, RTP Global, and marquee angels.
GoKwik is an e-commerce enablement company focussed predominantly on solving crucial e-commerce issues like boosting conversion rates across the e-commerce funnel and reducing RTO for our partners. It leverages AI/ML technologies to solve hard-hitting problems like RTO to increase CoD conversion rates. GoKwik's 1-click Kwik checkout improves checkout conversion rates ensuring higher GMV realization and reduced marketing CAC.
What we do is very unique with zero immediate competition in India today and therefore, building a team of Real Rockstars in their field to fuel this profit making start-up, which is growing at a rapid pace
Summary:
The Data Engineer2 will be closely working with product managers, data scientists, https://www.spec-india.com/services/business-intelligence-services, and SDEs to design and launch data-driven strategies across the organization.
You'll spend time on the following :
Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
Continuously look for data optimization processes and oversee data management, governance, security, and analysis
Ensure data quality and security across every product vertical and related areas
Design, create and launch new data models and pipelines as per needs
Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
Ensure test-driven products/pipelines that are easily maintainable and reusable
Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
Increase automation and build analytic solutions at scale to serve the business requirements
We're Excited About You If You Have:
Bachelor's/Master's degree in Computer Science, Mathematics or any alternative computer programming training
At least 4 years of experience working in Data Engineering field
Ability to keep up with several projects at once and understand the impact of projects within a larger system.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.
Experience building data pipelines, architectures, and data sets from raw, loosely structured data.
Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with relational SQL databases, including Postgres and MySQL.
Experience with object-oriented design in Python
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3
Both verbal and written communication skills
Efficiency in handling technical issues expertly, producing new design ideas and substitutions where required
Appreciate and add to a collaborative team effort
Some Important Traits - We look out for a Person in this role
Independent, resourceful, analytical, and able to solve problems effectively
Ability to be flexible, agile, and thrive in chaos
Excellent oral and written communication skills
Our Core Value Cultures:
Merchant 1st
Innovation
Talent
The pace of our growth is incredible - if you want to tackle hard and interesting problemsat scale, and create an impact within an entrepreneurial environment, Come join us!
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