Job Title: Data Engineer –
Insurance Domain
Location: New Jersey (Onsite/Hybrid)
Job Description
We are looking for an experienced Data Engineer with a strong background in the Insurance domain. The ideal candidate will design, develop, and maintain scalable data pipelines while supporting business intelligence and analytics initiatives.
Responsibilities
- Design, build, and maintain ETL/ELT data pipelines.
- Develop and optimize data models for reporting and analytics.
- Work with structured and unstructured data from multiple sources.
- Collaborate with business stakeholders and cross-functional teams to understand data requirements.
- Ensure data quality, integrity, and governance.
- Support cloud-based data platforms and modern data engineering practices.
Required Skills
- 8+ years of experience in Data Engineering.
- Strong experience with SQL and Python.
- Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, or similar cloud data platforms.
- Experience with ETL/ELT development and data warehousing.
- Good understanding of data modeling and performance tuning.
- Experience working in the Insurance domain (Policy, Claims, Underwriting, or Billing data).
- Excellent communication and problem-solving skills.
Preferred Skills
- Experience with Snowflake, Apache Spark, or PySpark.
- Knowledge of data governance and CI/CD practices.
- Azure or cloud certifications are a plus.
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