Job Description

Posted 1 week ago

Mid-level Data Engineer, Data, Data Modelling, Databricks, Azure, Delta Lake, Data Factory, Migration, ETL, ETL Tooling, SQL, Python or PySpark, Agile, migrating data from on-prem to cloud.

A top insurance firm are looking for a Data Engineer (Azure, Databricks, Delta lake, Data Factory) to work with the end to end support for acquisition, organization, integration, transformation and secure storage of mission-critical data.

Essential/ core experience required:

* 4-5+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process

* Prior experience in insurance and/or reinsurance in support of specialty lines is a plus.

* Experience in SQL, Python, Data Integration/Ingestion and associated patterns – ETL tooling – Informatica IICS, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred.

* Experience with on-prem and cloud versions of databases such as Oracle and SQL Server.

* Professional certifications in public cloud and tooling – Informatica and Azure are highly desired.

* Analyzes data requirements and provides data analysis techniques, and applies data modeling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments

* Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps).

Mid-level Data Engineer, Data, Data Modelling, Databricks, Azure, Delta Lake, Data Factory, Migration, ETL, ETL Tooling, SQL, Python or PySpark, Agile, migrating data from on-prem to cloud

Skills: