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About Zeta

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by

Bhavin Turakhiaand Ramki Gaddipati in

2015.Our

flagship processing platform - Zeta Tachyon - is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform

globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.

Zeta has over 1,700+ employees across the US, EMEA, and Asia, with 70%+ roles in R&D. Backed by SoftBank, Mastercard, and other investors, we raised $330M at a $2B valuation in 2025. Learn more @

About the Role

In this role, you’ll design robust data models using SQL, DBT and Redshift, while driving best practices across development, deployment, and monitoring. You'll also collaborate closely with product and engineering to ensure data quality and impactful delivery.

Responsibilities

Create optimised data models with SQL, DBT and Redshift

Write functional and column level test for Models

Build reports from the data models

Collaborate with product to clarify requirement and create design document

Get design reviewed from Architect/Principal/Lead Engineer

Contribute to code reviews

Set up and monitor Airflow DAGs

Set up and use CI/CD pipelines

Leverage Kubernetes operators for deployment automation

Ensure data quality

Drive best practices in Data models development, deployment, and monitoring

Mentor colleagues and contribute to team growth

Skills

Bachelor’s/Master’s degree in engineering

In-depth expertise in SQL and Python programming.

Strong expertise in SQL for complex data querying and optimization

Hands-on experience with Apache Airflow for orchestration and scheduling

Solid understanding of data modeling and data warehousing concepts

Experience with dbt (Data Build Tool) for data transformation and modeling

Exposure to Amazon Redshift or other cloud data warehouses

Familiarity with CI/CD tools such as Jenkins

Experience using Bitbucket for version control

Monitoring and alerting using Grafana and Prometheus

Working knowledge of JIRA for agile project tracking

Familiarity with Kubernetes for deployment automation and orchestration

Experience and Qualifications

10-15 years of relevant experience in data engineering.

Bachelor’s/Master’s degree in engineering (computer science, information systems)

Additional Information

Equal Opportunity

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.

Zeta

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