Data Engineer

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Arch Global Services (Philippines) Inc.

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Arch Global Services (Philippines) Inc. is a company that provides business process outsourcing (BPO) services, primarily focusing on operations and information technology support. Located in the Philippines, they offer cost-effective offshore services to help companies control costs, scale quickly, and maximize productivity through a skilled and educated workforce. Arch Global Services aims to build dedicated offshore partnerships with businesses to address their operational needs effectively, ensuring no language barriers with their young, professional team. They emphasize their role as a partner in enhancing business efficiency by offering necessary and exceptional outsourcing services.

Provides IT • Finance and Actuary support for Insurance • Reinusrance and Mortgage Insurance clients

1001 - 5000 employees

🤝 B2B

🏢 Enterprise

📋 Description

• Have you ever wondered how insurance companies calculate the price of insurance policies? • The Corporate Actuarial Data & Technology Team is a dynamic, growing team at Arch. • This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products. • The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. • They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. • They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. • As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

🎯 Requirements

• 1-2+ years of data/software engineering experience working with SQL, Python, and relational databases. • Understanding and experience with dimensional data modeling (star schema) • Familiarity with the MLOps framework • Strong data manipulation skills for analytics • Excellent critical thinking skills to tackle complex data challenges • Strong organizational skills and very detail oriented • Exceptional collaboration and relationship building skills • Comfortable working in a fast paced, highly collaborative environment • Ability to effectively communicate to different target audiences • Resilient problem solving and critical thinking skills • Flexibility - able to meet changing requirements and priorities • Technical Skills Proficiency Level Required (R) /Optional (O) • SQL 3 R • Python 3 R • Git 2 R • Microsoft Excel 2 R • Data Modeling (Dimensional modeling) 2 O • Cloud Experience (Azure preferred, AWS/GCP acceptable) 2 O • Snowflake 2 O • Databricks 2 O • Data warehouse architecture 2 O • Microsoft Office Products (MS Teams, Outlook, Word, PowerPoint, etc.) 2 O