Responsibilities:
• Collaborate with engineering and AI/ML teams to understand pipelines and AI service security needs
• Translate requirements into automated security policies and…

Responsibilities:
• Design, deploy, administer, and provide operational support for Network Management System (NMS) tools
• Evaluate new monitoring solutions and integrate tools with asset…

Responsibilities:
• Provide exceptional phone support by:
• Actively listening to understand customer issues
• Demonstrating empathy and a sense of urgency
• Documenting problems and…

Responsibilities:

Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations

Requirements:

8+ years of experience in data engineering or a related field
8+ years of experience in data engineering or a related field
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team

Advantages:
Familiarity with data visualization tools (e.g., Tableau, Power BI)
Knowledge of data governance and security best practices (e.g., data access control, data masking)
Experience with Agile methodologies
Familiarity with data catalog and metadata management tools (e.g., Collibra)
Familiarity with CI/CD pipelines and DevOps practices

Ügyfelünk mobil fejlesztői pozícióba keres új kollégát, aki modern technológiákat alkalmazva mobilalkalmazások fejlesztésén dolgozik egy kihívásokkal teli, innovatív környezetben.