Data Engineer 2

About YUBI

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's 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 two-sided 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– End-to-end securitisations and portfolio buyouts.
• Yubi Flow – A supply chain platform that offers trade financing solutions.
• Yubi Co.Lend – For banks and NBFCs for co-lending partnerships.
  
  

Currently, we have boarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore.

Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind 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+ like-minded 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

We are looking for a Data Engineer to join our data team and help build, maintain, and optimize data pipelines and infrastructure. This role is ideal for someone with a foundational understanding of SQL, Python, and big data technologies, eager to learn and grow in a dynamic environment. You will work closely with senior engineers and analysts to ensure data is efficiently processed, stored, and available for business insights.

Key Responsibilities

Data Pipeline Development & Maintenance

• Assist in designing, developing, and maintaining ETL/ELT pipelines for structured and unstructured data.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Develop and maintain data ingestion workflows from multiple sources into data warehouses and lakes.
• Ensure data quality, integrity, and consistency across systems.
  
  

Big Data & Cloud Technologies

• Work with cloud-based data platforms for data storage and processing.
• Learn and apply big data technologies like Apache Spark, Kafka.
• Assist in optimizing database performance and query efficiency.
  
  

Collaboration & Learning

• Work closely with data analysts, scientists, and senior engineers to support business intelligence and reporting needs.
• Document processes, best practices, and improvements for data workflows.
• Stay up to date with emerging data engineering trends and tools.
  
  

Requirements

Required Skills & Qualifications

• 2 to 3 years of experience in data engineering, analytics, or software development.
• Proficiency in SQL for data querying and manipulation.
• Basic knowledge of Python for scripting and data processing.
• Familiarity with ETL/ELT pipelines and relational databases (PostgreSQL, MySQL, Redshift, Snowflake, etc.).
• Understanding of cloud computing platforms (AWS/GCP/Azure) and big data tools is a plus.
• Strong problem-solving and analytical skills.
• Willingness to learn new technologies and improve technical skills.
  
  

Nice to Have

• Exposure to Apache Spark, Kafka, or Airflow.
• Basic knowledge of data warehousing concepts and dimensional modeling.
• Experience with Git and version control for collaborative development.