
Data & Business Intelligence Developer
9 hours ago
Are you a skilled data and business intelligence developer looking for a new challenge? We are seeking an experienced professional to join our team as a Data & Business Intelligence Developer.
This is an excellent opportunity to utilize your technical skills in a collaborative environment, working with a talented team of professionals who share your passion for delivering innovative solutions. As a Data & Business Intelligence Developer, you will be responsible for designing, optimizing, and developing business intelligence solutions that meet the needs of our organization.
Key Responsibilities:
- Data Visualization:
- Create and optimize interactive dashboards and data visualizations to provide actionable insights to stakeholders.
- Develop reports and performance metrics to measure business success.
- Design user-friendly and intuitive user interfaces (UI) for data-driven applications.
- Design scalable data models to support business growth and ensure data integrity.
- Write advanced SQL queries to extract insights from large datasets.
- Support Master Data Management (MDM) initiatives to maintain data consistency across systems.
- Build and optimize Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) processes to integrate data from various sources.
- Monitor cloud infrastructure and perform incident management to ensure high availability and reliability.
- Implement data governance principles to ensure data quality and compliance.
- Develop and monitor key performance indicators (KPIs) to measure data quality.
- Manage data catalogs to track and maintain data assets.
- Provide data analysis and insights to stakeholders to inform business decisions.
- Gather business requirements to develop tailored solutions.
Must-have:
- Proficiency in SQL (or Python, Scala, etc.) and ability to design data models.
- Hands-on experience with business intelligence tools (particularly Power BI) and optimizing interactive dashboards and reports.
- Knowledge of ETL/EL processes and at least one cloud infrastructure (AWS, Azure, GCP).
- Understanding of data governance principles and experience in monitoring data quality.
- Fluent communication in English, especially in the context of technical documentation and collaboration with international teams.
- Ability to create scripts for process automation (Python, Scala).
- Experience in Fabric, Databricks, Snowflake, etc.
- Basic knowledge of frameworks for processing large datasets, such as Hadoop or Spark.
- Experience with data management tools (e.g., Purview, Collibra).
Additionally:
- Sport subscription
- Training budget
- Private healthcare
- Flat structure
- International projects
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