Data Engineering Leader for Cloud Platforms

1 week ago


Mumbai, Maharashtra, India Yubi Group Full time

About Yubi Group

Yubi Group 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.

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 2022.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology.

  • We have a two-sided debt marketplace that 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.

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.

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.

About the Role

This role requires a well-rounded data engineer with hands-on experience in data processing technologies, a good understanding of data modeling concepts, and the ability to collaborate effectively with various stakeholders.

The salary range for this position is approximately $150,000 - $180,000 per annum, depending on experience.

Key Responsibilities:

  1. Design and implement efficient and scalable data pipelines using PySpark and Python.
  2. Integrate data from multiple source systems into a unified target system.
  3. Use Apache Airflow to orchestrate and schedule data pipelines, ensuring timely and reliable execution.
  4. Enhance existing data pipelines based on evolving business requirements.
  5. Troubleshoot and resolve any failures in data pipelines promptly.
  6. Work closely with various stakeholders to understand and address business needs related to data processing.

Requirements:

  1. Experience: 3-5 years as a data engineer, demonstrating a solid understanding of data engineering principles.
  2. Technical Skills: Proficient in SQL, Python, and PySpark for designing and implementing data solutions, knowledge of data warehousing techniques and dimensional modeling.
  3. Orchestration Tools: Experience with Apache Airflow for orchestrating complex data workflows.
  4. Data Modeling and Transformation: Exhibit strong proficiency in data modeling techniques, emphasizing expertise in designing and implementing effective data structures.

We are looking for talented individuals who can contribute to our mission and help shape the future of debt finance. If you're passionate about data engineering and want to be part of a dynamic team, please apply.


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