BI ( Snowflake + DBT)

Role Overview: You will be joining a fast-scaling analytics-driven tech firm that specializes in modern data warehousing and business intelligence. As a BI Engineer, you will play a crucial role in designing and developing scalable data models in Snowflake using dbt. Your responsibilities will include building and optimizing ETL/ELT pipelines, collaborating with stakeholders to translate business requirements, ensuring data quality, and maintaining dbt projects. Additionally, you will partner with data engineers and analysts to enhance data accessibility and governance across the organization. Key Responsibilities: - Design and develop scalable, modular data models in Snowflake using dbt - Build and optimize ETL/ELT pipelines for data ingestion and transformation - Collaborate with stakeholders to translate business requirements into measurable metrics - Own data quality by implementing tests, monitoring lineage, and automating alerting - Maintain and evolve dbt projects by managing dependencies and adopting best practices - Partner with data engineers and analysts to improve data accessibility and performance Qualifications Required: Must-Have: - Proficiency in Snowflake, dbt, SQL (advanced level), ETL/ELT pipeline design - Experience with Business Intelligence tools such as Tableau, Power BI, or Looker - Knowledge of data modeling concepts like star schema and snowflake schema - Familiarity with version control using Git Preferred: - Experience with CI/CD for dbt projects - Exposure to data observability tools like Monte Carlo or Great Expectations - Knowledge of Python for pipeline orchestration or automation Additional Details: The company operates at the intersection of modern data warehousing and business intelligence, enabling enterprises to leverage raw data for strategic decision-making. They utilize Snowflake for scalable cloud data warehousing and dbt for agile data transformation. The team focuses on powering real-time dashboards, predictive KPIs, and self-serve analytics for global clients. The company offers a hybrid work model, direct impact on high-visibility analytics initiatives, and a growth-focused environment with mentorship and upskilling opportunities in modern cloud data stacks. Role Overview: You will be joining a fast-scaling analytics-driven tech firm that specializes in modern data warehousing and business intelligence. As a BI Engineer, you will play a crucial role in designing and developing scalable data models in Snowflake using dbt. Your responsibilities will include building and optimizing ETL/ELT pipelines, collaborating with stakeholders to translate business requirements, ensuring data quality, and maintaining dbt projects. Additionally, you will partner with data engineers and analysts to enhance data accessibility and governance across the organization. Key Responsibilities: - Design and develop scalable, modular data models in Snowflake using dbt - Build and optimize ETL/ELT pipelines for data ingestion and transformation - Collaborate with stakeholders to translate business requirements into measurable metrics - Own data quality by implementing tests, monitoring lineage, and automating alerting - Maintain and evolve dbt projects by managing dependencies and adopting best practices - Partner with data engineers and analysts to improve data accessibility and performance Qualifications Required: Must-Have: - Proficiency in Snowflake, dbt, SQL (advanced level), ETL/ELT pipeline design - Experience with Business Intelligence tools such as Tableau, Power BI, or Looker - Knowledge of data modeling concepts like star schema and snowflake schema - Familiarity with version control using Git Preferred: - Experience with CI/CD for dbt projects - Exposure to data observability tools like Monte Carlo or Great Expectations - Knowledge of Python for pipeline orchestration or automation Additional Details: The company operates at the intersection of modern data warehousing and business intelligence, enabling enterprises to leverage raw data for strategic decision-making. They utilize Snowflake for scalable cloud data warehousing and dbt for agile data transformation. The team focuses on powering real-time dashboards, predictive KPIs, and self-serve analytics for global clients. The company offers a hybrid work model, direct impact on high-visibility analytics initiatives, and a growth-focused environment with mentorship and upskilling opportunities in modern cloud data stacks.