Middle/Senior Data Engineer (Databricks)

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Requirements:

• Minimum of 3-4 years as data engineer, or in a relevant field
• Advanced experience in Python, particularly in delivering production-grade data pipelines and troubleshooting code-based bugs.
• Structured approach to data insights
• Familiarity with cloud platforms (preferably Azure)
• Experience with Databricks, Snowflake, or similar data platforms
• Knowledge of relational databases, with proficiency in SQL
• Experience using Apache Spark
• Experience in creating and maintaining structured documentation
• Proficiency in utilizing testing frameworks to ensure code reliability and maintainability
• Experience with Gitlab or equivalent tools
• English Proficiency: B2 level or higher

Responsibilities:

• Design, build, and maintain data pipelines using Python
• Collaborate with an international team to develop scalable data solutions
• Conduct in-depth analysis and debugging of system bugs (Tier 2)
• Develop and maintain smart documentation for process consistency, including the creation and refinement of checklists and workflows
• Set up and configure new tenants, collaborating closely with team members to ensure smooth onboarding
• Write integration tests to ensure the quality and reliability of data services
• Work with Gitlab to manage code and collaborate with team members
• Utilize Databricks for data processing and management