Senior Data Engineer

4 weeks ago


Greenville, South Carolina, United States Marsh LLC Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Marsh McLennan Agency (MMA). As a key member of our IT Data and Analytics Team, you will be responsible for designing and implementing scalable data pipelines, enhancing data models, and providing subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks, and Confluent.

Key Responsibilities:

  • Develop and maintain scalable data pipelines using Azure cloud offerings, including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps.
  • Design and implement data engineering solutions using Azure cloud offerings, including Azure Data Factory, Azure Synapse, and Azure Functions.
  • Collaborate with cross-functional teams to align data engineering solutions with business objectives and drive data-driven decision-making.
  • Develop and maintain reusable code, libraries, and frameworks for cloud-based data warehousing and ETL.
  • Provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks, and Confluent.

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.

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:

  • Competitive total rewards package, including health and welfare benefits, tuition assistance, 401K savings, and other wellbeing programs.
  • Generous time off, including personal and volunteering time.
  • Tuition reimbursement and professional development opportunities.
  • Remote work options.
  • Charitable contribution match programs.
  • Stock purchase opportunities.

How to Apply:

Please submit your application by September 24th, 2024. We are an equal opportunity employer and welcome applications from diverse candidates.



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