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© All Rights Reserved. ApplyBlast.com
WTW
The Data Engineer role involves building and maintaining scalable data pipelines using Azure Databricks, Python, and PySpark while orchestrating workflows with Azure Data Factory. The position requires managing data governance, ingesting large datasets from various sources, and implementing cloud-native data solutions in Azure or AWS environments. Candidates must have at least five years of experience in data engineering and strong expertise in distributed data processing and ETL/ELT design.
Headquarters
London, England, United Kingdom
Company Size
10001+ employees
Founded
1828
WTW (Willis Towers Watson) is a global advisory, broking and solutions firm that delivers data-driven, insight-led services across people, risk and capital. It provides HR and benefits consulting, insurance and reinsurance broking, risk management, investment and retirement solutions, and workforce analytics and technology. Employers, insurers, asset managers and governments use WTW’s analytics, actuarial expertise and digital tools to design benefits, manage risk and optimize capital. The firm emphasizes data and technology to guide strategic decisions and operational programs worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for WTW.
WTW didn’t post a salary, so this is our estimate from similar listings.
Azure Databricks Azure Data Factory (ADF) PySpark Python SQL Data Warehousing concepts (Star Schema, Snowflake Schema, ETL/ELT, Dimensional Modelling) Experience in designing and developing scalable data pipelines Strong understanding of data integration, transformation, and optimization techniques Power BI Data visualization and dashboard development Experience with Azure ecosystem services Supply Chain domain expertise
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