About the Role
We are seeking a Senior Data Engineer to play a pivotal role in designing, developing, and maintaining data integration solutions, data warehouse architectures, and Business Intelligence systems. This role primarily focuses on facilitating data extraction, transformation, reporting, database development, and visualization to support our business needs and enable data-driven decision-making.
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Key Responsibilities
- Design, develop, and maintain Business Intelligence, data integration, and data warehouse solutions.
- Build and manage ETL processes to extract, transform, and load data from multiple structured and unstructured sources.
- Develop, deploy, and maintain reports and dashboards using various reporting and data visualization tools.
- Write, optimize, and troubleshoot SQL queries, stored procedures, functions, views, and other database objects.
- Design and develop both relational and multidimensional database architectures.
- Monitor, debug, and troubleshoot data pipelines, databases, and BI solutions.
- Implement data warehouse concepts, tools, and best practices.
- Create data visualization solutions to effectively present complex data.
- Gather and translate business and client requirements into technical and functional specifications.
- Establish and maintain development standards in line with enterprise architecture guidelines.
- Modify database structures and data solutions to align with client requirements.
Requirements
- Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, or a related field, or an equivalent combination of education and experience.
- Minimum of 3 years of experience in data engineering, database development, or Business Intelligence.
- Hands-on experience with ETL tools such as SSIS, DTS, or SSAS, with a preference for SSIS.
- At least 3 years of experience with Microsoft SQL Server, SQL, T-SQL, stored procedures, functions, views, triggers, indexes, query optimization, and relational database management systems (RDBMS).
- Experience with data visualization tools such as Power BI, Tableau, AWS QuickSight, or similar platforms.
- Strong knowledge of data warehousing concepts, relational and multidimensional databases, and data integration architectures.
- Excellent ability to write, analyze, debug, and optimize SQL queries.
- Strong analytical thinking, problem-solving abilities, attention to detail, as well as communication and collaboration skills.
- Good command of English with the capability to communicate technical information effectively.
