Data and Bi Engineering Technical Lead
1 week ago
Aim to empower all areas of the organization with the insights they need to make informed and strategic decisions. By leveraging the latest in business intelligence technologies and techniques, we will help unlock the full potential of our data assets and transform raw data into actionable insights. Our goal is to build a culture of data-driven decision making across the organization, where data is viewed as a strategic asset and not just a byproduct of day-to-day operations. Together, we can unlock the full potential of our business and drive success through the power of data.
Responsibilities
- To understand business requirements in the BI context and design data models/marts to convert raw data to meaningful insights.
- To create dashboards and visual interactive reports using Power BI/Metabase.
- To identify KPIs with clear objectives and monitor them consistently.
- To analyze data and present it through reports that can help in decision-making.
- To be able to convert business requirements into technical specifications and decide the timeline to accomplish tasks.
- To design, develop, and deploy Power BI/Metabase scripts and perform efficient detailed analysis.
- To perform DAX queries and functions in Power BI.
- To create charts and document data with algorithms, parameters, models, and relations explanations.
- To conduct Oracle data warehouse development.
- To perform SQL querying for best results.
- To use filters and graphs for a better understanding of the data.
- To define and design new systems by analyzing current ETL processes.
- To make technical changes to existing BI systems to enhance their working.
Job requirements
:
• Bachelor's degree in computer science, Information Technology or equivalent.
• Knowledge of functions, Fintech, and e-payment
• Proven experience in Linux and Windows Server OS and Oracle/MySQL/MS-SQL DB environments.
• Strong experience in Python
- Proven experience in ETL tools (Apache spark, kafka, airflow)
• Be able to work with ambitious timelines in a dynamic, high-growth environment
- Strong understanding for ODS, DDS and data marts
• Good communications skills, with both technical and business audiences.
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