Description :
Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people.
More than 10,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day.
Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National.
Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.
With 180 offices across North America, 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).
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.
It involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, and uses multi-cloud, programming languages like Java, Scala, Python, RDBMS, NoSQL databases, and design enterprise data warehouse platforms.
By fostering collaboration and aligning with business objectives, you will have the opportunity to elevate data models, drive data-driven decision-making, and enhance data accessibility throughout the organization.
Join us in championing data-driven decision-making and becoming an essential contributor to our data-driven success.
Our future colleague.
We’d love to meet you if your professional track record includes these skills :
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.
These additional qualifications are a plus, but not required to apply :
Familiarity with Modern Data Platforms technologies like Snowflake, Matillion, Bryte Flow, and Tableau is a plus.
Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka and Azure Stream Analytics is a bonus.
Experience with Informatica - IICS task flows development and maintenance.
Data bricks, Microsoft Azure Data Engineer, and / or other cloud certifications.
We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
Valuable benefits.
We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work.
Some benefits included in this role are :
Generous time off, including personal and volunteering
Tuition reimbursement and professional development opportunities
Remote work
Charitable contribution match programs
Stock purchase opportunities
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