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Senior Data Engineer
2 months ago
About Us
US012 Marsh & McLennan Agency LLC is a leading business insurance and risk management firm that provides innovative solutions to organizations and individuals. Our company culture values collaboration, innovation, and excellence, and we are committed to delivering purposeful work and meaningful impact every day.
Job Summary
We are seeking a highly skilled Senior Data Engineer to join our MMA National IT Data and Analytics Team. As a Senior Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, enhancing data models, and providing subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks, and Confluent.
Key Responsibilities
- Design and implement data engineering solutions using Azure cloud offerings, including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps.
- Develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines.
- Collaborate with cross-functional teams to align data engineering solutions with business objectives.
- Develop best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL.
- Use multi-cloud, programming languages like Java, Scala, Python, RDBMS, NoSQL databases, and design enterprise data warehouse platforms.
Requirements
- 7+ years of hands-on experience designing and implementing data engineering solutions using Azure cloud offerings.
- In-depth understanding and experience in data engineering and data warehousing best practices, data modeling, data security, and governance principles throughout the 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 to 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.
Preferred Qualifications
- Familiarity with Modern Data Platforms technologies like Snowflake, Matillion, Bryte Flow, and Tableau.
- Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka, and Azure Stream Analytics.
- Experience with Informatica - IICS task flows development and maintenance.
- Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications.
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.