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You will be updated with latest job alerts via emailAbout YUBI
Yubi formerly known as CredAvenue is redefining global debt markets by freeing the flow of finance between borrowers lenders and investors. We are the worlds possibility platform for the discovery investment fulfilment and collection of any debt solution. At Yubi opportunities are plenty and we equip you with tools to seize it.
In March 2022 we became India s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.
In 2020 we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our twosided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy which means investors can lend invest and trade bonds all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.
Yubi Loans Term loans and working capital solutions for enterprises.
Yubi Invest Bond issuance and investments for institutional and retail participants.
Yubi Pool Endtoend securitisations and portfolio buyouts.
Yubi Flow A supply chain platform that offers trade financing solutions.
Yubi Co.Lend For banks and NBFCs for colending partnerships.
Currently we have boarded over 4000 corporates 350 investors and have facilitated debt volumes of over INR 40000 crore.
Backed by marquee investors like Insight Partners B Capital Group Dragoneer Sequoia Capital LightSpeed and Lightrock we are the onlyofitskind debt platform globally revolutionizing the segment.
At Yubi People are at the core of the business and our most valuable assets. Yubi is constantly growing with 650 likeminded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story.
About the Role
This role requires a wellrounded data engineer with handson experience in data processing technologies a good understanding of data modeling concepts and the ability to collaborate effectively with various stakeholders. The willingness to adapt to flexible working hours demonstrates a commitment to supporting the continuous operation of data pipelines and meeting business needs.
Responsibilities:
Build Data Pipelines:
Utilize PySpark and Python to construct efficient and scalable data pipelines.
Integrate data from multiple source systems into a unified target system.
Orchestrate Pipelines with Airflow:
Use Apache Airflow to orchestrate and schedule data pipelines ensuring timely and reliable execution.
Enhance Existing Pipelines:
Understand existing data pipelines and make enhancements based on evolving business requirements.
Implement improvements to optimize performance and maintainability.
Debugging and Root Cause Analysis:
Troubleshoot and resolve any failures in data pipelines promptly.
Conduct root cause analysis for pipeline failures and implement corrective measures.
Collaboration with Stakeholders:
Work closely with various stakeholders both within and across teams.
Communicate effectively to understand and address business needs related to data processing.
Weekend and Shift Support:
Be available to work on weekends and in shifts if necessary to provide support for business operations.
Experience:
35 years of experience as a data engineer demonstrating a solid understanding of data engineering principles.
Technical Skills:
Proficient in SQL Python and PySpark for designing and implementing data solutions.
Knowledge of data warehousing techniques and dimensional modeling.
Orchestration Tools:
Experience with Apache Airflow for orchestrating complex data workflows.
Familiarity with containerization using Docker and version control systems.
Data Modeling and Transformation:
Exhibit strong proficiency in data modeling techniques emphasizing expertise in designing and implementing effective data structures.
Knowledge of DBT (Data Build Tool) for transforming and modeling data.
Cloud Platform:
AWS knowledge is a plus showcasing familiarity with cloudbased data services and infrastructure.
Full Time