BI Developer
- אזור המרכז
- משרה קבועה
- משרה מלאה
- Data Modeling and Transformation: Design, develop, and maintain data models that make data easily accessible and understandable to stakeholders. Use tools like dbt (Data Build Tool) to transform raw data into actionable analytics.
- Data Pipeline Development: Build, optimize, and maintain ETL/ELT pipelines to ensure data is clean, reliable, and timely. Work with data engineers to ingest and process data from various sources.
- Collaboration with Stakeholders: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and provide technical expertise on data structuring.
- Performance Optimization: Continuously monitor and improve data processes to ensure scalability and performance efficiency, including query optimization and data storage best practices.
- Data Quality and Governance: Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.
- Tooling and Automation: Develop tools and scripts to automate routine tasks and improve the efficiency of data workflows.
- Documentation: Maintain thorough documentation of data models, data pipelines, and processes to ensure data transparency and team knowledge sharing.
- Troubleshooting and Support: Identify and resolve data-related issues, troubleshoot data discrepancies, and provide support to data users.
- Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Equivalent work experience is also considered.
- Experience: 6+ years of experience in BI developer, analytics engineering, or a similar role, with a strong focus on data transformation and modeling.
- Technical Skills: Proficiency in SQL, Python, and data transformation tools such as dbt. Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
- Data Warehousing: Solid understanding of data warehousing concepts, dimensional modeling, and data schema design.
- ETL/ELT: Experience with ETL/ELT processes and tools such as Apache Airflow, Fivetran, or similar.
- Analytical Skills: Strong problem-solving skills with the ability to analyze complex datasets and communicate findings effectively.
- Version Control: Familiarity with version control systems like Git for managing data pipeline changes.
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