Data Engineer

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 SoftBank 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 PayZapp 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. 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. Data Quality and Governance: Implement and enforce data quality standards. Contribute to data governance processes and policies. Scripting and Programming: Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error handling mechanisms. Version Control: Use version control systems (e.g., Git) to manage codebase changes for data pipelines. Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability. Cloud Platforms: 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. Security: Implement and adhere to data security best practices. Ensure compliance with data protection regulations. Troubleshooting and Support: Provide support for data-related issues and participate in root cause analysis. Skills Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala. Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). Experience and Qualifications Bachelor’s/Master’s degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development. Excellent command on SQL and one or more programming languages, preferably Python or Java. Knowledge of Flink, Airflow, Apache Spark, DBT (good to have), Athena / Presto Experience working with Kubernetes. Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success #J-18808-Ljbffr