Collaborate closely with stakeholders to understand business questions and clearly specify key metrics and acceptance criteria for reporting solutions
Build and maintain the core data backbone by integrating multiple Finance data systems using PySpark and tools within the Palantir Foundry environment
Develop comprehensive data and reporting solutions that address business requirements for the wider Finance organization
Implement testing strategies to ensure deliverables meet specifications, including system performance and report timeliness
Ensure smooth operation of existing reporting platforms through structured change management activities
Participate in ad-hoc projects and work collaboratively with team members to address evolving business needs
Stay informed about the latest trends and best practices in data engineering and financial data analysis

5-9 years of working experience in data engineering and reporting
Proficiency in PySpark for data processing and management
Experience with Palantir Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour) is an advantage.
Knowledge of Spark and optimizing spark-based pipelines
Ability to convert business problems into technical implementations
University degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, or Information Technology)
Excellent command of spoken and written English with ability to present to senior management.

Data Engineer I

Key skills