N-iX
Data Analyst/Engineer (Databricks) (#2168)
N-iX, Snowflake, Arizona, United States, 85937
Romania, PolandWork type:
Office/RemoteTechnical Level:
SeniorJob Category:
Software DevelopmentWe are looking for a 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.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.Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).Active tech communities with regular knowledge sharing.
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Office/RemoteTechnical Level:
SeniorJob Category:
Software DevelopmentWe are looking for a 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.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.Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).Active tech communities with regular knowledge sharing.
#J-18808-Ljbffr