ZyberTech
Senior Data Engineer - Azure / Snowflake (Insurance / Reinsurance)
Location: Remote - Tamil Nadu / Bangalore, India Experience: 5-7 Years
Work Hours: Partial U.S. East Coast Overlap Employment: Full-Time
Role Overview
We are seeking a Senior Data Engineer with Azure and Snowflake expertise to support a
reinsurance client's enterprise data-modernization program. This role involves designing and
building scalable ETL and data-pipeline solutions for policy analytics, claims processing,
underwriting insights, and regulatory reporting, collaborating with U.S. stakeholders.
Key Responsibilities
? Design and deliver ETL / data-pipeline frameworks using Azure Databricks (PySpark,
SparkSQL), ADF, Microsoft Fabric, Azure SQL, and Snowflake.
? Build and optimize data-lakehouse / warehouse systems for actuarial and enterprise
analytics.
? Implement CI/CD pipelines via Azure DevOps.
? Ensure data quality, performance, and reliability.
? Collaborate with actuarial, finance, and risk teams.
Required Skills & Experience
? 5-7 years in data engineering / data warehousing with Azure experience.
? Hands-on expertise in Databricks, ADF, Azure SQL / Synapse, Fabric, Snowflake, and
Azure DevOps (CI/CD).
? Strong grasp of data modeling, metadata management, and data governance.
? Insurance / reinsurance data domains experience preferred.
Soft Skills & Professional Competencies
? Excellent customer-facing communication and stakeholder engagement skills.
? Strong problem-solving abilities and a proactive approach to driving innovation.
? Ownership mindset with commitment to quality, security, and compliance.
? Ability to thrive in fast-paced, evolving business environments.
Why Join ZyberTech
? Work on enterprise-scale reinsurance projects.
? Remote-first, innovation-driven culture with flexible hours.
? Exposure to cutting-edge Azure + Snowflake ecosystems and FinOps practices.
? Continuous learning, mentorship, and a collaborative environment.
Job Type: Full-time
Pay: ?556,957.88 - ?1,943,725.92 per year
Work Location: Remote
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