Cermati. com
Financial Services
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for entry candidates.
“Business Intelligence Engineer at Cermati. com. Skills: SQL, Python, data modeling, ETL/ELT pipelines. Design, build, and maintain ETL/ELT pipelines. Develop and manage data models”
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related technical field, Expert-level SQL skills, data modeling and data warehouse design principles
Nice to Have
coding with data processing tools, modern data stack tools
What You'll Do.
and maintain ETL/ELT pipelines
Develop and manage data models
and productionize SQL and Python scripts
Create and manage data marts
and optimize data pipeline performance
Implement data quality checks
How You'll Work.
Team & Collaboration
Collaborate with BI Analysts; Collaborate with business stakeholders
Communication Scope
Excellent written and verbal communication skills
Full Job Description
We are seeking a highly technical Business Intelligence Engineer to design, build, and maintain the data infrastructure that powers our analytics. You will be responsible for developing scalable data pipelines, building robust data models, and optimizing our data warehouse. Your work will be the foundation that enables our BI Analysts and business leaders to access clean, reliable, and performant data for their insights and decision-making. Job Description * Design, build, and maintain scalable and reliable ETL/ELT pipelines to process data from diverse sources for any reporting use cases. * Develop and manage robust, reusable data models within our data warehouse (BigQuery) using data modeling best practices (star schemas, etc.). * Write, optimize, and productionize complex SQL and Python scripts for data transformation, cleaning, and validation to ensure data integrity. * Create and manage optimized data marts and summary tables that support the specific needs of our BI Analysts and visualization tools. * Collaborate with BI Analysts and business stakeholders to understand their data requirements and translate them into technical specifications for the data backend. * Monitor, debug, and optimize data pipeline performance, query speeds, and data warehouse health. * Implement data quality checks and governance processes to ensure all data is accurate, consistent, and trustworthy. ## Qualifications * Having a bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related technical field. * Expert-level SQL skills, with the proven ability to write highly optimized advanced queries, stored procedures, and window functions on large-scale data. * Capable of coding with data processing tools are a major plus (e.g., Jupyter, Python). * Deep understanding of data modeling and data warehouse design principles (e.g., dimensional modeling, star schemas) to build efficient data backends. * Strong analytical and problem-solving skills to debug
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