Informacje o stanowisku

technologies-expected :

• Scala
• Hadoop
• Jira
• Confluence
• React
• Node.js
• Jenkins
• SQL
• Microsoft Azure
• Git

• Bash
• Python
• Docker
• Kubernetes
• AWS

• Develop end-to-end ETL/ELT pipelines using Spark and Scala.
• Implement technical validations and business logic, ensuring data quality.
• Collaborate in an Agile/Scrum team, documenting solutions in relevant tools (JIRA, Confluence).
• Design and execute tests to ensure the quality and integration of deliveries.
• Work with cross-functional and international teams to integrate diverse data sources.
• Develop basic web applications using React and NodeJS.
• Contribute to the maintenance and improvement of CI/CD pipelines (e.g., Jenkins, GitHub).
• Work with various database systems (SQL, Hive, Postgres) and data lake environments.

• At least 2 years of experience working with Spark and Scala.
• Knowledge of good practices in writing code: clean code, software design patterns, functional style of writing code, TDD.
• At least 2 years of experience working with Spark with Scala, software design patterns, and TDD.
• Experience in working with big data – Spark, Hadoop, Hive. Knowledge of Azure Databricks is considered as a plus.
• Agile approach for software development
• Experience and expertise across data integration and data management with high data volumes.
• Experience working in agile continuous integration/DevOps paradigm and tool set (Git, GitHub, Jenkins, Sonar, Nexus, Jira)
• Experience with different database structures, including (Postgres, SQL, Hive)
• English (at least B2+)

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