Informacje o stanowisku

technologies-expected :

• Python
• PySpark
• Spark
• Hadoop
• Hive
• SQL
• ETL
• Jira
• Git

• AWS
• Google Cloud Platform
• Microsoft Azure
• Microsoft Power BI
• Tableau
• Qlickview

• Currently, for our Client in the banking industry, we are looking for a Senior Data Engineer:
• Project: Creating a Data Lake for business, with Machine Learning, Gen.AI and Data Engineering elements.
• Project Duration: longterm
• Technology Stack: Python, PySpark, Spark, Hadoop, Hive, SQL, ETL, Jira, Git, CI/CD
• Team: 6 people
• Work Mode: hybrid (2-3 days per week in the office)
• Salary: 28 000 - 31 000 gross (contract of employment)

• Creating a Data Lake for business, with Machine Learning, Gen.AI and Data Engineering elements.
• Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions.
• Build and maintain a robust data engineering process to develop and implement self-serve data and tools

• Minimum of 6+ years’ experience in building data engineering pipelines using Python, PySpark, Hadoop, Spark and SQL.
• Knowledge of OOP concepts like inheritance, polymorphism and implementing Design Patterns in programming.
• Experience with any ETL tool like Informatica, SSIS, Pentaho or Azure Data Factory.
• Strong understanding of cloud architecture and service offerings including compute, storage, databases, networking, AI, and ML.

• Collaboration based on a contract of employment.
• Private medical care.
• Training budget.
• We dont work overtime! Balance is the most important thing!

• private medical care
• remote work opportunities
• integration events

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