Data Engineer

4 days ago

Quezon City, Philippines ECLARO Full time

ECLARO Quezon City, National Capital Region, Philippines

ECLARO Quezon City, National Capital Region, Philippines

1 day ago Be among the first 25 applicants

Role Title: Data Engineer - Reinsurance
ECLARO: A quick Summary
ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.
Required Skills & Qualifications:
Industry Knowledge
• Strong understanding of Property & Casualty (P&C) Insurance domain, data models, and workflows.
Programming & Scripting
• Python: 5+ years of experience with strong proficiency in writing clean, maintainable code.
• Candidates must have experience working with the Pandas library.
• SQL: Advanced SQL skills for querying and transforming structured data within pipelines.
AWS Glue & Related Services
• AWS Glue Jobs: Experience developing and managing Spark or Python Shell-based ETL jobs.
• Glue Crawlers: Proficient in schema inference and metadata cataloging.
• Glue Workflows: Skilled in orchestrating ETL pipelines with jobs, triggers, and crawlers.
• Glue Triggers: Understanding of event-driven, time-based, and conditional execution flows.
• Glue Data Catalog: Experience managing data assets and handling schema evolution.
Data Engineering & Architecture
• Design, develop, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.
• Build and maintain data models to support business intelligence, reporting, and analytics use cases.
Data Integration & Management
• Integrate data from APIs, databases, file systems, and third-party platforms into centralized data lakes or warehouses.
• Manage and optimize relational and non-relational databases for high performance and reliability.
Performance & Optimization
• Monitor, profile, and optimize ETL workflows and queries for efficiency and scalability.
• Collaborate on cost-effective, reliable data infrastructure design and implementation.
Cross-functional Collaboration
• Partner with data scientists, analysts, product managers, and engineers to deliver integrated, data-driven solutions.

Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Other
Job function
  • Job function Information Technology
  • Industries Staffing and Recruiting

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