Senior Data Engineer
Chennai, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild scalable data pipelines using PySpark and Python
Integrate and process data from multiple sources seamlessly
Optimise pipeline performance and reliability
Work with cross-functional teams on business data needs
From the employer’s posting
Utilise PySpark and Python to build scalable data pipelines.
You'll ensure seamless data integration and processing from multiple sources
while optimising performance and reliability
Collaboration with cross-functional teams will be key to meeting business needs
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Docker
- Airflow
- PySpark
Source — Tool mentions in context
About the Role As a Senior Data Engineer, you will design, build, and maintain efficient data pipelines that drive our data-driven decision-making. You'll ensure seamless data integration and processing from multiple sources, while optimising performance and reliability. Collaboration with cross-functional teams will be key to meeting business needs in both on-premise and cloud environments. Role and Responsibilities- - Utilise PySpark and Python to build scalable data pipelines. - Integrate data from multiple source systems into a unified target.
- Minimum 5 years of experience as a Data Engineer. - Proficient in SQL, Python, and PySpark. - Strong knowledge of data warehousing techniques and dimensional modelling.
- Expertise in data modelling and DBT (Data Build Tool). - Knowledge of AWS infrastructure is a plus. - Ability to adapt to flexible working hours to support business needs.
- Familiarity with Docker and version control systems. - Expertise in data modelling and DBT (Data Build Tool). - Knowledge of AWS infrastructure is a plus.
- Experience with Airflow or Temporal for complex workflow orchestration. - Familiarity with Docker and version control systems. - Expertise in data modelling and DBT (Data Build Tool).
- Integrate data from multiple source systems into a unified target. - Orchestrate and schedule pipelines using Airflow or Temporal for reliable execution. - Enhance existing pipelines to meet evolving business requirements.
- Strong knowledge of data warehousing techniques and dimensional modelling. - Experience with Airflow or Temporal for complex workflow orchestration. - Familiarity with Docker and version control systems.
About Yubi
Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 149 days ago
- Recorded sightings
- 178
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
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Job description
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, fulfillment, 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. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.
Spocto - Debt recovery & risk mitigation platform
So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 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 1000+ 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
As a Senior Data Engineer, you will design, build, and maintain efficient data pipelines that drive our data-driven decision-making. You'll ensure seamless data integration and processing from multiple sources, while optimising performance and reliability. Collaboration with cross-functional teams will be key to meeting business needs in both on-premise and cloud environments.
Role and Responsibilities-
Utilise PySpark and Python to build scalable data pipelines.
Integrate data from multiple source systems into a unified target.
Orchestrate and schedule pipelines using Airflow or Temporal for reliable execution.
Enhance existing pipelines to meet evolving business requirements.
Optimise pipelines for performance and cost.
Troubleshoot and resolve pipeline failures quickly.
Conduct root cause analysis and implement corrective measures.
Collaborate with stakeholders to address data processing needs.
Provide support on weekends and shifts as required.
Travel to client locations for on-prem pipeline development, deployment and support.
Experience & Expertise
Minimum 5 years of experience as a Data Engineer.
Proficient in SQL, Python, and PySpark.
Strong knowledge of data warehousing techniques and dimensional modelling.
Experience with Airflow or Temporal for complex workflow orchestration.
Familiarity with Docker and version control systems.
Expertise in data modelling and DBT (Data Build Tool).
Knowledge of AWS infrastructure is a plus.
Ability to adapt to flexible working hours to support business needs.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, India
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- Work authorization
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