
Senior Data Engineer Position
1 week ago
We are seeking an experienced Data Engineering Leader to drive the design and implementation of scalable, secure, and high-performance data pipelines.
The ideal candidate will have a strong background in data engineering with expertise in Snowflake, SQL Server, and modern data architecture principles including Medallion Architecture and Data Mesh.
Key Responsibilities:
- Lead end-to-end design and development of data pipelines supporting TurboRater.
- Architect and implement Medallion Architecture for structured and semi-structured data.
- Drive adoption of Data Mesh principles, decentralizing ownership and promoting domain-oriented data products.
- Ensure data quality, lineage, and governance across rating-related data assets.
- Optimize workflows for rating performance, scalability, and cost-efficiency.
- Stay updated with data & insurtech innovations relevant to CPQ and rating platforms.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- ~8+ years of experience in data engineering with at least 3 years in technical leadership.
- Strong hands-on experience with Snowflake (data ingestion, transformation, performance tuning).
- Proficiency in SQL Server and T-SQL.
- Deep understanding of Medallion Architecture and Data Mesh principles.
- Experience with data orchestration tools (Airflow, dbt), cloud platforms (Azure/AWS), and CI/CD pipelines.
- Knowledge of Python or Scala for data processing.
- Exposure to real-time data streaming (Kafka, Spark Streaming).
About Us:
Zywave is a leading provider of insurtech solutions empowering insurance brokers and agencies with cutting-edge software tools for client engagement, data analytics, and growth.
With a global footprint and a commitment to innovation, Zywave fosters a culture of continuous improvement, collaboration, and impact.
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