Data Developer with Snowflake, Insurance, Data Engineering, Python, and TALEND

Role Overview:
We are seeking an experienced Data Developer / Data Engineerwith strong insurance domain expertise to design, develop, and maintain scalable data solutions supporting analytics, reporting, and operational use cases. This role requires hands-on experience with modern cloud data platforms-including Snowflake-and strong programming skills in Python, along with deep understanding of insurance data.

The ideal candidate will bridge technical data engineering capabilities with insurance business knowledge to deliver high-quality, reliable data assets.

Key Responsibilities

• Design, build, and maintain end-to-end data engineering pipelines (ETL/ELT) for insurance data
• Develop and optimize data solutions using Snowflake as a cloud data warehouse
• Use Python to support data ingestion, transformation, automation, and orchestration
• Integrate data from core insurance systems (Policy, Claims, Billing, Underwriting, Reinsurance)
• Model insurance data for analytical, actuarial, financial, and regulatory reporting use cases
• Write complex, high-performance SQL queries and transformations
• Ensure data quality, validation, lineage, and governance standards
• Collaborate with business stakeholders, analysts, and architects to translate insurance requirements into technical solutions
• Troubleshoot and resolve data pipeline, performance, and data integrity issues
• Document data models, pipelines, and best practices

Required Qualifications:

• 5 years of experience in Data Development or Data Engineering roles
• Strong insurance domain experience (P&C, Life, Health, or Specialty Insurance)
• Hands-on experience with Snowflake (data modeling, performance tuning, security, cost optimization)
• Advanced SQL skills
• Proficiency in Python for data processing and automation
• Experience building and maintaining scalable data pipelines
• Strong understanding of insurance data concepts (policies, premiums, claims, losses, exposures)
• Experience working with large, complex datasets
• Strong analytical, troubleshooting, and communication skills

Preferred / Nice-to-Have Skills

• Cloud platforms: Azure, AWS, or GCP
• Azure Data Factory, Azure Data Lake, Databricks, Synapse
• Experience with orchestration tools (Airflow, Azure Data Factory, dbt, or similar)
• Familiarity with BI and reporting tools (Power BI, Tableau, Looker)
• Experience with insurance platforms such as Guidewire, Duck Creek, Majesco
• Knowledge of data governance, metadata management, and regulatory reporting
• Experience working in Agile/Scrum environments

Education: Bachelor's degree in Computer Science, Data Engineering,Information Systems, or a related field (or equivalent experience)