Senior Business Intelligence Developer

7 days ago

Tel AvivYafo, Israel beBeeEngineer Full time
Analytics Engineering Role

Are you a detail-oriented problem solver who excels at working with data? Do you thrive in an environment where innovation and agility are highly valued?

We're seeking a skilled Analytics Engineer to join our team. This role is perfect for someone who enjoys bridging the gap between data engineering and analysis, ensuring that high-quality data is available for business intelligence, reporting, and analytical needs.

Key Responsibilities:

  1. Data Transformation and Modeling: Design, develop, and maintain data models that make data easily accessible to stakeholders. Use tools like dbt (Data Build Tool) to transform raw data into actionable analytics.
  2. ETL/ELT Pipeline Development: Build, optimize, and maintain ETL/ELT pipelines to ensure data is clean, reliable, and timely. Collaborate with data engineers to ingest and process data from various sources.
  3. 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.
  4. Performance Optimization: Continuously monitor and improve data processes to ensure scalability and performance efficiency, including query optimization and data storage best practices.
  5. Data Quality and Governance: Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.
  6. Tooling and Automation: Develop tools and scripts to automate routine tasks and improve the efficiency of data workflows.
  7. Documentation: Maintain thorough documentation of data models, data pipelines, and processes to ensure data transparency and team knowledge sharing.
  8. Troubleshooting and Support: Identify and resolve data-related issues, troubleshoot data discrepancies, and provide support to data users.

Requirements:

  • Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • Experience: 6+ years of experience in 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.
  • Analytical Skills: Strong problem-solving skills with the ability to analyze complex datasets and communicate findings effectively.

Benefits:

  • Opportunity to work with a dynamic team and contribute to innovative projects.
  • Professional growth and development opportunities.
  • A collaborative and supportive work environment.

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