About the position Responsibilities • Build and maintain automated and static reports using Excel, SQL, and Power BI. • Develop and manage data pipelines for data extraction, cleansing, and transformation. • Create business-critical dashboards using Power BI Desktop Service. • Design and implement efficient end-to-end data migration pipelines using Azure Data Factory or similar tools. • Perform complex SQL query building and optimizations for data manipulation and integrity. • Develop complex stored procedures, user-defined functions, DML triggers, views, and indexes. • Conduct data analysis for OLTP and OLAP environments, ensuring data quality and accuracy. • Collaborate with team members to design and develop complex data engineering projects. Requirements • Experience in building and maintaining automated and static reports using Excel, SQL, and Power BI. • Knowledge of data warehousing and business intelligence applications. • Expertise in predictive and prescriptive analytics. • In-depth knowledge of SQL query building and optimizations. • Experience in creating complex stored procedures and user-defined functions. • Proficiency in developing data pipelines and data migration processes. • Strong problem-solving and analytical skills. • Excellent communication and interpersonal skills. • Bachelor's or master's degree in computer science, data engineering, data science, data analytics, or a related field. Nice-to-haves • Experience with Azure Functions as webhooks to consume data from APIs. • Familiarity with performance tuning in MS SQL and SSRS/SSIS. • Knowledge of DAX queries and data visualization techniques in Power BI. Benefits • Competitive salary range of $100,000 - $140,000 annually plus benefits. • Hybrid work schedule (3 days onsite, 2 days remote). • Equal Opportunity Employer with a commitment to diversity and inclusion. Apply tot his job