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CasaOne helps businesses lease and rent furniture, fixtures, and decor.

Senior Data Engineer

₹22L – ₹30L • 0.02% – 0.04%
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About CasaOne
CasaOne is a home furniture rental company that helps property managers, realtors, stagers and residents experience and access furniture, furnishings, decor, and equipment on demand. Our full-service offering includes a wide selection of products, affordable monthly rental plans, 3D visualizations, rent-to-own options and white-glove service in as early as 2-3 business days. casaone.com

About BureauOne
BureauOne converts furniture into a utility for businesses. BureauOne is a furniture rental company that helps businesses experience and access furniture, fixtures, and equipment without going through the myriad challenges that are associated with buying office furniture. BureauOne offers a full-service product including white-glove storage, delivery, and installation on-site. bureauone.com

Job Overview
We are looking for a Data Engineer for our growing business. S/he will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing the data flow and reporting for the various cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys building and scaling data systems from the ground up.

The Role
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. They will have the freedom of choosing their own softwares and tools.

Responsibilities
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using MySQL and AWS technologies
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Create data analytical tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Skills needed
Analytical Mindset - Comfortable in handling large data sets. An eye for detail. Can anticipate business needs and align with industry trends and keep tabs on how they are to be implemented
Fast Learner - Should grasp the business problems quickly and prioritize solutions
Interested in solving real-world problems - Can develop a deep understanding of the structure of on-ground teams, customers and business partners
Self Starter/Go-Getter - Will take initiatives and build automated systems with proactive & preemptive actions
Communicator - Excellent in Written and Oral communication

Qualifications & Other Requirements
Bachelors/Masters degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years of experience in Data Engineering or building backend systems or platforms
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 and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large disconnected datasets
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with real time data pipelines from ingestion to delivery (like Kafka, Kinesis etc)
Familiarity with cloud based solutions in AWS/Azure/GCP

Opportunities
• to increase your rate of learning exponentially by defining hard problems and solving them
• to partake in a high-growth journey and increase revenues 5x+ y-o-y
• to be an early innovator in the shifting trend: ‘ownership economy’ -> ‘access economy’
• to build a category-defining platform for FF&E (Furniture, Fixture, and Equipment) leasing
• to build high-performance teams

CasaOne is Proud to be an equal opportunity employer (EEO) and value diversity at our company.

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