Data Engineer Informatica

<p><strong><span style="font-size: 12pt;">Senior Engineer</span></strong><br>Cloud Exposure: Strong experience with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).<br>Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and support the growth of more junior members.<br><br><span style="font-size: 12pt;"><strong>Desirable experience</strong></span><br><strong>Advanced Education: </strong>A Master's degree or PhD in a relevant field is a strong plus.<br><strong>Reporting & Dashboards: </strong>Optimise data retrieval and develop dashboards and reports for business teams.<br><strong>Technology Evaluation:</strong> Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.<br><strong>Data Platform Expertise:</strong> Hands-on experience building and supporting solutions on one or more of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark.Informatica certification (IDMC, CDGC or Data Quality) or experience with other catalogs such as Collibra, Purview or Alation.</p>
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