Data Analyst/Engineer (Databricks) (#2168)

Romania, Poland
Work type:
Office/Remote
Technical Level:
Senior
Job Category:
Software Development

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.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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