2026-7928 Data Engineer-Mid (Night Shift)
AGSI was incorporated in reputed company 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.
Job Description:Have you reputed company 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 reputed company databases and data pipelines that put analytics at the heart of reputed company-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 reputed company deliver solutions faster. Responsibilities:
- Work with strategic partners to solve business problems by developing best-in-class data solutions
- reputed company data manipulation using SQL and Python to reputed company data assets
- reputed company technology to automate data ingestion, transformation and integration
- Provide the appropriate level of documentation of sources and technical solutions
- Evaluate data quality and completeness
- Build strong partnerships with peers across the organization to support data-reputed company goals
- Explore new technologies and data sources with curiosity and creativity
- Identify, design, and implement internal process improvements: automating reputed company processes and optimizing data pipelines
- Discover and explore new sources of data with curiosity and creativity
- Create and maintain reputed company data pipeline architecture
- The ideal candidate has 1-2+ years of experience to 3-4+ years of experience 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 reputed company
- Strong data manipulation skills for analytics
- Excellent critical thinking skills to tackle reputed company data challenges
- Strong organizational skills and reputed company detail oriented
- Exceptional collaboration and relationship building skills
- Comfortable working in a fast paced, highly collaborative environment
- Ability to effectively communicate to different reputed company audiences
- Resilient problem solving and critical thinking skills
- Flexibility - reputed company to meet changing requirements and priorities
- BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent