Senior Business Intelligence Architect

6 days ago


ballari, India beBeeDataEngineer Full time

Transformative Data Engineer sought to build and scale modern data solutions on Microsoft Azure. Our ideal candidate possesses hands-on experience in SQL databases, Azure Data Lake Storage, Azure Data Factory (ADF), and Power BI. The successful professional will design, implement, and optimize robust data pipelines and models that power business analytics and reporting.Key Responsibilities:Design and develop scalable data architectures using Azure Data Factory and Azure Data Lake StorageDevelop high-performance data pipelines using Power BI and DatabricksImplement advanced data governance and security practices using Azure DevOpsCollaborate with cross-functional teams to deliver data-driven insights and business outcomesRequired Skills & Qualifications:5+ years of professional experience in data engineering or closely related rolesExperience with Databricks for large-scale transformationsAdvanced expertise with SQL databases (e.g., Azure SQL/SQL Server) including query optimization and performance tuningHands-on experience with Azure Data Lake Storage (ADLS Gen2) and Azure Data Factory (ADF)Strong experience delivering analytics with Power BI (datasets, data models, DAX, security)Practical Azure DevOps experience (Git, Repos, Pipelines) for CI/CD of data solutionsOracle experience (PL/SQL, data extraction and integration) in hybrid/cloud data architecturesSolid understanding of data warehousing concepts (dimensional modeling, SCD, partitioning) and ETL/ELT design patternsProficiency in at least one scripting/programming language commonly used in data engineering (e.g., Python or SQL-centric frameworks) for automation and data transformationsStrong ownership, communication, and collaboration skills in distributed teamsNice to Have Skills & Experience:Experience with Power BI deployment pipelines and governance at scaleFamiliarity with Application Insights telemetry, Log Analytics, and end-to-end observability for data workloadsData quality tooling (e.g., unit/integration testing, validation frameworks), and experience with metadata/catalog solutionsBackground in optimizing cost on Azure (storage tiers, pipeline orchestration strategies, caching)We Offer:A dynamic work environment with opportunities for growth and developmentA collaborative team culture that values innovation and creativityA comprehensive benefits package, including health insurance, retirement savings plan, and paid time offAbout Us:We are a forward-thinking organization dedicated to harnessing the power of data to drive business success. Our team is passionate about building innovative data solutions that transform industries and improve lives.



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