Position Summary:

The Senior Data Engineer will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, to ensure that optimal data delivery architecture is consistent throughout ongoing projects. You will engage in supporting the data analysts and data scientists, and data needs of multiple teams, systems and products. Do you find the prospect of optimizing or even re-designing our company's integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together.

Required:

• A relevant technical BS Degree in Information Technology

• 5+ years writing SQL queries against any RDBMS with query optimization.

• 5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server

• Experience with scripting tools such as Power Shell, Python, Scala, Java and XML

• Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage

• Experience structuring Data Lake for the reliability, security and performance.

• Experience implementing ETL for Data Warehouse and Business intelligence solutions.

• Skills to read and write effective, modular, dynamic, parameterized and robust code, establish and follow already established code standards, and ETL framework.

• Strong analytical, problem solving, and troubleshooting abilities.

• Good understanding of unit testing, software change management, and software release management

• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as Code fundamentals

• Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.

• Experience working within an agile team.

• Excellent communication skills