Senior Data Engineer
Senior Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Data Engineer needs 10 years experience
Data Engineer requires:
- Business Intelligence:Azure Data Factory (ADF) Azure Databricks Azure Analysis Services (SSAS) Azure Data Lake Analytics Azure Data Lake Store (ADLS) Azure Integration Runtime Azure Event Hubs Azure Stream Analytics DBT
- Database Technologies:Azure SQL MongoDB PySpark
- Familiarity with reinsurance broking data including placements treaty structures client hierarchies and renewal workflows.
- Understanding of actuarial rating inputs and outputs including exposure and experience data layers tags and program structures.
- Experience building data pipelines that support actuarial analytics pricing tools and downstream reporting for brokers and client
- Expert in data warehouse development starting from inception to implementation and ongoing support strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone bronze silver and gold layers of data
- Good knowledge in implementing various business rules for Data Extraction Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
- Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
- Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
- Extensive experience in developing tabular and multidimensional SSAS Cubes Aggregation KPIs Measures Partitioning Cube Data Mining Models deploying and Processing SSAS objects.
- SDLC
- Technical writing
- Experience in Agile software development and SCRUM methodology.
Employment Type
Full Time
