We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team.
Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.They specialize in technology information with more than 20 years of experience.
The Senior Data Warehouse/Data Engineer will be a key contributor to the Data Intelligence team, responsible for leading the analysis, visualization, and interpretation of complex data to provide actionable insights that drive strategic decision-making across AGSCS.
Key Accountabilities
Data Warehousing and Modeling
- Apply advanced knowledge of data warehousing principles, including ETL/ELT, dimensional modeling, and schema design, to structure and manage data for optimal reporting and analysis.
- Design and develop data models that are scalable, maintainable, and aligned with business goals.
- Collaborate closely with data engineers to ensure data integrity, quality, and accessibility in the data warehouse environment.
- Leverage cloud-based data management solutions, with a strong preference for AWS and Databricks, to support warehousing and integration initiatives.
- Design and implement robust ETL processes using modern tools and best practices.
Advanced Analytics and Reporting
- Conduct comprehensive data analysis and generate predictive and prescriptive insights to support decision-making.
- Develop and maintain complex interactive dashboards and visualizations in Power BI.
- Use DAX (Data Analysis Expressions) to build KPIs, calculated columns, and measures.
- Perform rigorous data validation and quality checks.
Business Intelligence Strategy
- Collaborate with business units to understand key metrics and reporting needs, and deliver actionable BI solutions.
- Support the development and execution of data intelligence and BI roadmaps.
Knowledge, Skills, and Experience
We are looking for:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, or a related field.
- 4+ years of hands-on experience in data analysis, business intelligence, or data engineering roles.
- Strong technical skills in data warehousing and data modeling, with practical experience in implementing enterprise data warehouse solutions.
- Very strong SQL and PL/SQL skills for querying, analyzing, and transforming large datasets.
- Solid experience with ETL pipelines and data integration techniques.
- Proficient in cloud platforms, particularly AWS and Databricks, for data management and transformation.
- Expert-level knowledge in Microsoft Power BI, including DAX and data visualization.
- Strong analytical mindset with the ability to break down complex problems.
- Excellent communication skills and the ability to work effectively with both technical and business teams.