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Lead Business Intelligence Engineer

Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future.
Data
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Lead Business Intelligence Engineer

Zeta, a Next-Gen Banking Tech company valued at $2B, is seeking a Lead Business Intelligence Engineer to join their team in Hyderabad. As a company that has revolutionized banking technology with their flagship Zeta Tachyon platform, they've successfully issued over 15M+ cards globally and partner with major banks and fintechs worldwide.

The role demands a skilled professional who will be instrumental in designing and implementing robust data models using SQL, DBT, and Redshift. You'll be responsible for creating optimized data solutions, ensuring data quality, and driving best practices across development, deployment, and monitoring processes. The position offers an opportunity to work with cutting-edge technologies in a rapidly growing fintech environment.

The ideal candidate should possess 4-6 years of relevant experience in data engineering, with strong expertise in SQL and Python programming. You'll need hands-on experience with Apache Airflow, DBT, and cloud data warehouses like Amazon Redshift. Knowledge of CI/CD tools, Kubernetes, and monitoring solutions like Grafana and Prometheus is essential.

What makes this role particularly exciting is the chance to work with a company that's backed by industry giants like SoftBank and Mastercard, and is actively transforming the banking technology landscape. With over 1,700+ employees globally and 70%+ roles in R&D, you'll be part of a dynamic, innovation-focused environment that's shaping the future of financial technology.

The position offers the opportunity to mentor colleagues, contribute to team growth, and work on solutions that impact millions of users globally. If you're passionate about data engineering and want to be part of a company that's revolutionizing banking technology, this role presents an excellent opportunity for career growth and impact.

Last updated 6 days ago

Responsibilities For Lead Business Intelligence Engineer

  • 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

Requirements For Lead Business Intelligence Engineer

Python
PostgreSQL
  • 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
  • 4-6 years of relevant experience in data engineering

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