Data Engineer II
Listed on 2026-05-28
-
IT/Tech
Data Engineering, Data Security
About us:
Build the future of banking.
Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences.
Our impact runs at real-world scale. Today,
over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by Soft Bank Vision Fund, Mastercard
, and other reputed strategic investors, we reached a valuation of $2 billion in 2025.
Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including:
1.
Tachyon
, our cloud-native banking stack built for population-scale systems.
2.
Cipher
, our unified authentication platform for secure, high-volume banking environments.
3.
Digital Credit as a Service
, enabling banks to launch credit lines on UPI.
4.
Elena
, our intelligent and conversational AI platform for banking.
5.
Pixel
, India’s first digital-native credit card, launched in partnership with HDFC Bank
, for whom we also revamped their Pay Zapp mobile app:
Winner of the Celent Model Bank Award for Payments Innovation 2024
.
6.
Sparrow
, the leading card experience for non-prime cardholders in the US.
…and more across cards, payments, lending, and core banking.
We are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. Reinforcing our commitment to creating an inclusive and supportive workplace, we have been consistently recognized as a Great Place to Work
.
If you want to build cutting-edge banking tech that enables banks to serve millions reliably, securely, and at a population scale, Zeta is your playground.
To learn more about how we have grown and evolved over the years, watch our journey here. You can also explore our website and follow us on Linked In, Instagram, You Tube, and X.
About the Role
As a Data Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.
Responsibilities Data Pipeline Operations- Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources.
- Ensure high-quality data by implementing monitoring, validation, and error-handling processes.
- Create and update data models to represent the structure of the data.
- Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues.
- Build and manage data warehouses for storage and analysis of large datasets.
- Collaborate on data modeling, schema design, and performance optimization for large-scale datasets.
- Implement and enforce data quality standards. Contribute to data governance processes and policies.
- Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error handling mechanisms.
- Use version control systems (e.g., Git) to manage codebase changes for data pipelines.
- Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability.
- Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics.
- Implement and adhere to data security best…
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