Senior Data Engineer

November 8

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Marsh McLennan

WebsiteLinkedInAll Job Openings

Insurance Broking • Risk advisory services • HR and related consulting • outsourcing and investments services • Management consulting

10,000+ employees

Founded 1871

💸 Finance

Description

• Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. • A day in the life. As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent. • Join us in championing data-driven decision-making and becoming an essential contributor to our data-driven success.

Requirements

• 7+ years of hands-on experience designing and implementing data engineering solutions using Azure cloud offerings including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps. • In-depth understanding and experience in data engineering and data warehousing best practices, data modelling, data security and governance principles throughout data lifecycle. • Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries. • Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods. • Proficiency in Spark, Python and ability work with telemetry using Azure monitor, App insights. • Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence. • Ability to troubleshoot and deploy using Redgate tools and Visual Studio is a must.

Benefits

• Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote work • Charitable contribution match programs • Stock purchase opportunities