| Sr Data Engineer with P&C insurance background || NOH1B at Remote, Remote, USA |
| Email: [email protected] |
| From: Ishavdeep Singh, Cloud Think Technologies [email protected] Reply to: [email protected] Notes: Candidates should be a SME level resource with strong Data engineer background with Enterprise level Development and creating the data pipelines experience. Property & Casualty Experience is Must either Commercial line or Personal. Azure platform is the key area strong experience in Azure Data Factory and Data Bricks. Strong SQL with Excel Pivot tables and Python, PySpark experience needed. Description: Required Experience: Data Engineer with Enterprise Data warehouse/Datamart and ETL background. Experience in Property & Casualty (P&C) Insurance domain is required. Strong Python (DataFrame, APIs, Batch processing, Data pipelines) experience. Experience in Azure platform including Azure Data Lake, Data Bricks, Delta Lake (Bronze, Silver, Gold), Data Factory, Azure SQL Database Experience in interpretation of insurance data to identify trends, patterns, and anomalies that can impact business performance and profitability. Experience in data analysis and predictive modeling to support decision-making processes such as policy performance, claims data, customer behavior etc. Strong SQL experience with excellent Excel skills (i.e. Pivot Tables). Understanding of Data modeling for Enterprise Data Warehouse ecosystems Knowledge in Spark, PySpark preferable. Familiarity working in a data lake environment, leveraging data streaming, and developing data pipelines driven by events/queues. Working knowledge on different file formats such as JSON, Parquet, CSV, etc. Familiarity with data encryption, data masking Database experience in SQL Server Qualifications: Bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science Keywords: cprogramm |
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| Thu Oct 05 01:59:00 UTC 2023 |