Data Engineer (Databricks) (#2168)

We are looking for Data Analyst/Engineer (Databricks) to join our team.

Our client is a leading SaaS provider that specializes in developing solutions to help users visualize, navigate, collaborate, and manage digital representations of physical assets. Their platform empowers industries to work efficiently by providing a comprehensive digital workspace for asset management.

Key Responsibilities:

• Design, build, and maintain production-grade data pipelines using Python.
• Collaborate with an international English-speaking team to develop scalable data solutions.
• Integrate and manage APIs for data retrieval and processing.
• Write integration tests to ensure the quality and reliability of data services.
• Work with Gitlab or similar version control systems to manage code and collaborate with team members.
• Utilize Databricks for data processing and management.

Requirements:

• Experience: Minimum of 3 years as a data analyst, engineer, or in a relevant field.
• Python Proficiency: Advanced experience in Python, especially in delivering production-grade data pipelines.
• Cloud & Containers: Experience in developing and/or deploying services on cloud platforms, and familiarity with container technologies (e.g., Docker).
• Cloud Platforms: Knowledge of Azure.
• Data Platforms: Experience with Apache Spark, Databricks, Snowflake, or other relevant platforms.
• Databricks: Hands-on experience.
• Databases: Knowledge of document, graph, and relational databases, along with proficiency in SQL.
• Ability to write and manage integration tests.
• Experience with Gitlab or equivalent tools.
• English Proficiency: B2 level or higher
• Strong collaboration and communication skills; experience working in an international team environment.