Informacje o stanowisku

technologies-expected :

• Python
• Spark
• PySpark
• Hive
• Hadoop
• MS SQL Server
• PostgreSQL
• ClickHouse
• Airflow

• Microsoft Azure
• Google Ads
• Google Analytics

• Client is a leading global provider of marketing technology & analytical consultancy

• Implementing and managing tools to automate software development processes
• Taking care of continuous integration and delivery (CI/CD) of applications
• Optimizing and monitoring cloud infrastructure
• Creating and managing containers (Docker, Kubernetes)
• Ensuring security and scalability of systems
• Collaborate with development and operations teams to streamline processes
• Troubleshoot infrastructure issues and automate corrective actions
• Maintain high availability and reliability of systems
• Improve and continuously improve software development processes

• 3–5 years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment
• Bachelor-level expertise demonstrated through formal education or equivalent professional experience
• Hands-on experience with a database platform such as Apache Hive, Hadoop, Microsoft SQL Server, PostgreSQL, ClickHouse, or similar
• Proficiency in Python for developing data pipelines and managing ETL/ELT workflows
• Familiarity with data orchestration tools like Airflow or Dagster
• Experience with Spark, PySpark, PySQL, or R

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