Manager Business Intelligence
About ZetaZeta 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.Ourflagship 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 @www.zeta.tech,careers.zeta.tech,Linkedin,TwitterAbout 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.
Apply Now
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.
Apply Now