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We are seeking an experienced Data Engineer to lead the modernization and migration of legacy ETL systems (primarily on-premise solutions such as Informatica) to a cloud-based data platform on Microsoft Azure.
This role will focus on analyzing migration requirements, designing and implementing robust data pipelines and collaborating with cross-functional teams to ensure a seamless transition to modern data infrastructure.
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Project information:
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Responsibilities:
Lead the migration of traditional ETL workflows from on-premise systems (e.g. Informatica) to Azure-based data solutions
Plan, analyze and execute migration tasks, ensuring optimal performance and minimal business disruption
Partner with business stakeholders, DevOps and infrastructure teams to define requirements, timelines and priorities
Develop and modernize data pipelines using modern frameworks and technologies
Support innovation initiatives in data engineering, driving continuous improvement and adoption of best practices
Requirements:
8+ years of data engineering experience, including traditional data warehouse and ETL systems (Informatica experience preferred but not mandatory)
Proven hands-on expertise with: PySpark and Python, Databricks, Microsoft Azure (or comparable cloud platforms)
Strong understanding of data modeling, pipeline orchestration and data performance optimization
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Nice to have:
We offer:
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