Data Engineer

• Minimum 3 years of experience as a Data Engineer or similar role.
• Very strong knowledge of SQL and experience designing complex data transformations.
• Experience with Databricks platform and Apache Spark.
• Knowledge of views and materialized views concepts in data warehouses.
• Practical knowledge of ETL tools and data modeling principles.
• Experience integrating data from various structured and unstructured sources.
• Ability to write optimal and efficient code for large data volumes.
• Very good command of English (working in an international environment).

Nice to have:

• Experience with cloud technologies (AWS, Azure, GCP).
• Knowledge of Python and/or Scala in the context of data processing.
• Experience with code versioning tools (e.g., Git).

• Designing and developing data pipelines on the Databricks platform.
• Implementing data transformations using SQL (views, materialized views).
• Creating and optimizing Apache Spark notebooks.
• Ensuring high performance and scalability of data processing.
• Integrating various data sources, creating data models, and ensuring compliance with business requirements.
• Monitoring, maintaining, and optimizing existing ETL solutions.
• Collaborating with analytical and business teams to understand data needs.