Data Engineering Expert
4 days ago
We are seeking a highly skilled Senior Data Engineer to join our MMA National IT Data and Analytics Team. The successful candidate will 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.
This role involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, as well as using multi-cloud, programming languages like Java, Scala, Python, RDBMS, NoSQL databases, and design enterprise data warehouse platforms.
The ideal candidate will have 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. They will also have in-depth understanding and experience in data engineering and data warehousing best practices, data modeling, data security, and governance principles throughout the data lifecycle.
Key Responsibilities:
- Design and implement data engineering solutions using Azure cloud offerings
- Develop and maintain scalable data pipelines
- Enhance data models and provide subject matter expertise
- Use multi-cloud, programming languages, and design enterprise data warehouse platforms
About Us
MMA National is a leading provider of business insurance, employee health & benefits, retirement, and private client insurance solutions. We combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC).
What We Offer
- Generous time off, including personal and volunteering
- Tuition reimbursement and professional development opportunities
- Remote work
- Charitable contribution match programs
- Stock purchase opportunities
Salary Range: $101,300-$151,900
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