Data Engineer – P&C Insurance
5 days ago
Job Summary:
We are seeking a skilled
Data Engineer
with a solid background in
Property & Casualty (P&C) Insurance
data and strong expertise in
data integration, migration, and Azure data services
. The ideal candidate will design, develop, and optimize data pipelines and architecture to support business intelligence, analytics, and digital transformation initiatives.
MUST HAVE:
P&C with Azure, ADF, Data Fabric, Integration, migration project experience is mandatory
Required Skills & Qualifications:
- 5–8+ years
of experience as a Data Engineer or related role. - Strong experience in P&C Insurance domain
— familiarity with policy, claims, billing, and underwriting data. - Proven experience with
data integration or migration projects
(on-prem to Azure or cross-platform). - Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks / Spark
- Azure Synapse / Data Lake / SQL Database
- Python, PySpark, or Scala
for data processing - SQL and performance tuning
- Strong understanding of
data modeling, warehousing concepts, and ETL/ELT frameworks
. - Experience with
API-based or file-based data integrations
. - Familiarity with
version control (Git), CI/CD pipelines
, and
Agile delivery methods
.
Preferred Skills:
- Experience in
insurance data models
such as ACORD or ISO. - Exposure to
data governance tools
(e.g., Purview, Collibra) and
metadata management
. - Knowledge of
Power BI or other reporting tools
for data consumption. - Azure certification (e.g.,
DP-203: Data Engineer Associate
) preferred.
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