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Our client in the financial services space are looking for a Senior Data Engineer with experience in Actuarial and Asset Management Excel Files. As well as a strong background with Python, SQL, GCP and Databricks, working on large-scale, complex datasets and building end-to-end data pipelines in financial services environments, including automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.
Requirements:
Actuarial and Asset Management Excel Files
Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities
SQL: Data manipulation and querying
Python: Experience in libraries like Pandas and NumPy
Cloud Platform: Building on GCP using BigQuery
Familiarity with tools like DBT and Databricks
Experience with investment-related projects or working in the reinsurance or life insurance domain
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