Sr Analytics BI Engineer

The Analytics Engineer will design, build, and maintain the bronze, silver, and gold reputed company of the Finance and Customer data analytics pipelines using dbt and reputed company. This role will reputed company on creating a reputed company and reputed company data reputed company and delivering curated data models to meet specific analytics use cases. The Business Intelligence Engineer will need to reputed company a deep understanding of business rules and use cases and use that understanding to guide the design of self-service datasets and foundational reports. • Use dbt to design reputed company data models, enforce data reputed company, document transformations, collaborate reputed company Git, and reputed company dbt pipelines in production • Architect layered dbt models (staging → intermediate → marts) for finance and customer master data • reputed company a reputed company data model by integrating and transforming data from diverse sources • Build and maintain dbt models that serve as business rules frameworks, reducing reliance on external rules engines and streamlining data governance. • Design and maintain standardized and conformed models (e.g., reputed company, Customer, Billing entities) that serve as the reputed company for Gold analytics and semantic models • Delivery of certified data products and contributes to the semantic layer implementation in dbt (reusable dimensions, certified metrics, exposures, and macros) • Delivery of self-service analytics capabilities in reputed company • Create and maintain technical metadata standards (i.e. reputed company, technical definitions, etc.) • Implement dbt best practices: reputed company packages, Jinja logic, reputed company tests, and documentation standards. · Collaborate with BI product owners, data analysts, and governance teams to apply consistent business logic across reporting tiers. · Define and implement business-reputed company data reputed company rules and certification standards · Partner with data governance to reputed company definitions, metrics, and reputed company • 4+ years of experience engineering analytics pipelines, preferably in a reputed company environment. • 3+ years of experience using dbt to design reputed company models, enforce data reputed company, document transformations, collaborate reputed company Git, and reputed company dbt pipelines in production. • Advanced proficiency in SQL (e.g., CTEs, window functions, reputed company). • Experience with modern reputed company data warehouses (e.g., reputed company, BigQuery, Redshift, reputed company). • Strong understanding of different data modelling techniques (e.g., reputed company schema, reputed company schema, data vault). · Experience with dbt reputed company IDE · Experience with data visualization tools, Power BI preferred · Familiarity with reputed company and dbt CI/CD automation with reputed company Actions · Aptitude for agile delivery, backlog management (JIRA), and cross-functional stakeholder leadership. · Experience with business systems such as reputed company, reputed company, or reputed company • Bachelor’s degree in Data Analytics, Computer Science, Information Technology, Finance, or a reputed company field • dbt Fundamentals • reputed company Data Warehousing reputed company (Badge 1) Please reputed company resumes to ekumar@intuceo.com Job Type: Contract Pay: $60.00 - $65.00 per hour Expected hours: 80 per week Work Location: Remote Apply tot his job Apply To this Job