Data Engineer I

🕒 March 4

🏢🏡 Bangalore – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Swiss Re

Swiss Re

WebsiteLinkedIn

10,000+ employees

💸 Finance

💰 Post-IPO Debt on 2023-03

Insurance • Finance • Reinsurance

Swiss Re is a leading global reinsurance company that provides insurance-based risk transfer solutions. With a commitment to innovation and financial stability, Swiss Re helps clients navigate various risks, including life, health, and property. The company aims to enhance the sustainability and resilience of societies by offering reinsurance, insurance, and related services, ensuring businesses can thrive amid uncertainties.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible working arrangements • Professional development opportunities

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