**Skills Preferred** 1) Strong understanding of relational database concepts, SQL (Structured Query Language), and data modeling. Knowledge of various databases used in data warehousing, such as Oracle, SQL Server, PostgreSQL, or MySQL. 2) Proficiency in ETL tools like Azure Data Factory, Azure Synapse, or Microsoft SSIS (SQL Server Integration Services) to extract data from various sources, transform it to fit the target schema, and load it into the data warehouse. 3) Ability to design and implement data warehouse data models, including star schema, snowflake schema, and dimension hierarchies for optimized data retrieval and analysis. 4) Understanding of data integration techniques and data quality processes to ensure data accuracy, consistency, and reliability in the data warehouse. 5) Knowledge of data warehouse architecture principles, such as data staging areas, data marts, data lakes, and the overall data flow. 6) Familiarity with data warehouse development methodologies and the ability to apply best practices in building scalable and maintainable data warehouses. 7) Proficiency in scripting languages like Python, Perl, or Shell scripting for automating ETL processes and data manipulation. 8) Understanding of data security principles and compliance regulations to protect sensitive information in the data warehouse. 9) Skills in optimizing data warehouse performance, including query optimization, index creation, and partitioning. 10) Ability to collaborate with business stakeholders to gather and document reporting requirements, translating them into effective and performance-optimized Power BI dashboards and reports. This includes designing visually engaging, user-friendly layouts aligned with key performance indicators, as well as implementing row-level security, advanced DAX measures, and interactive visuals to deliver clear, actionable insights. **Experience Required** + This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity. **Experience Preferred** 1) 3 years of experience in the past 4 years in working with Oracle and Microsoft SQL database architecture, data modeling, normalization, and performance optimization. 2) 3 years of experience in the past 4 years Proficient in PL/SQL, T/SQL for writing stored procedures, triggers, and performance-tuned queries. Hands-on experience with Oracle tools like SQL*Plus, Oracle SQL Developer, and Oracle Data Integrator, and Familiarity with SQL Server Integration Services (SSIS). 3) 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. Knowledge of integrating on-premises data with Azure SQL using Azure Data Factory or other tools. 4) 3+ years of experience in the past 4 years creating interactive dashboards and reports in Power BI. Advanced knowledge of DAX for measures, calculated columns, and time intelligence functions. Proficiency in Power Query for cleaning and transforming data before report creation. Skilled in optimizing Power BI models and visuals for large datasets to ensure performance. 5) 3 years of experience in the past 4 years in working with designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle and familiarity with data warehousing tools like Azure Synapse. 6) 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka 7) 3 years of experience in the past 4 years in working with data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse. **Education Required** + This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. + Additional qualifying experience may be substituted for the required education on a year-for-year basis. **About US Tech Solutions.** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, and we currently have a job opening that may interest you. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran