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Python Data Engineer
Trinity Technology Solutions LLC
- United States
- United States
À propos
We are looking for a skilled
Python Data Engineer
with hands-on experience in
Azure ,
PySpark , and
Databricks , specifically within the
insurance domain . This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization. Key Responsibilities: Design and develop scalable and robust data pipelines using
PySpark
and
Python . Leverage
Azure Data Services
(e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation. Utilize
Databricks
for distributed data processing, data wrangling, and advanced analytics. Ensure data quality, integrity, and compliance with data governance and security policies. Collaborate with cross-functional teams, including business analysts, data scientists, and application developers. Participate in performance tuning, troubleshooting, and optimization of data workflows. Translate business requirements into technical specifications, especially within the
insurance industry
context. Develop and maintain documentation for data pipelines and architecture.
Compétences linguistiques
- English
Avis aux utilisateurs
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