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About the Role
The BI Engineer will be responsible for organizing and reporting data related to sales numbers, market research, logistics, linguistics, or other behaviors. They utilize technical expertise to ensure data reported is accurate and high-quality. Data will need to be analyzed, designed, and presented in a way that assists individuals, business owners and customer stakeholders to make better decisions.
Responsibilities
- Develop, optimize, and maintain ETL pipelines using DBT for efficient data transformation and loading.
- Write and optimize complex SQL queries for data extraction, transformation, and reporting.
- Work with Python for data processing, automation, and analytical tasks.
- Build and maintain dashboards and reports using visualization tools like Tableau, Metabase, or similar BI platforms.
- Apply data modeling principles to ensure efficient storage and retrieval of data.
- Develop a strong understanding of the business domain, key metrics, and operational processes to drive relevant insights.
- Collaborate with cross-functional teams (engineering, product, operations) to define and deliver data-driven solutions.
- Troubleshoot and optimize data pipelines for performance, accuracy, and scalability.
- Ensure data quality, governance, and documentation for all BI solutions. of solutions, actively participating in discussions related to product and feature development
Skills
- Bachelor’s/Master’s degree in engineering
- In-depth expertise in SQL and Python programming.
- Exceptional quantitative and problem-solving skills
- Good command over analytical and visualization tools like Tableau, Metabase etc.
- Basic Knowledge of Data Modeling, ETL Process, statistical and ML techniques such as classification, linear regression modelling, clustering and decision trees, etc.
- Ability to work with cross-functional and dependent teams, think and own on delivering end to end.
- Excellent problem-solving skills and ability to work independently or as part of a team.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Experience and Qualifications
- Bachelor’s/Master’s degree in engineering (computer science, information systems)
- At least 3-6 years of experience in working on data, especially on reporting, data analysis
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.
Top Skills
What We Do
Founded in 2015, Zeta is a provider of next-gen credit card processing platform. Zeta’s cloud-native and fully API-enabled stack offers a comprehensive range of capabilities, including processing, issuing, lending, core banking, fraud detection, and loyalty programs. With a strong focus on technology, Zeta has over 1700+ employees and contractors, with more than 70% dedicated to technology roles. Operating across the US, UK, Middle East, and Asia, Zeta has served a global customer base of 35+ clients who have issued over 15 million cards on Zeta's platform to date. Backed by prominent investors such as Softbank Vision Fund 2 and Mastercard, Zeta has raised $280 million, at a valuation of $1.5 billion.
