Analyst - Data Engineering

We are seeking a Data Engineer to join our Applications Development team at Marsh. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Data Engineer at Marsh, you will conceptualize and implement the setup and management of the data platform built Databricks services across different regions.

We will count on you to :

• Collaborate with stakeholders to understand data requirements and translate them into technical specifications
• Design, develop, and implement data pipelines and ETL processes, ensuring thorough unit testing to validate functionality and performance.
• Implement data quality checks and validation processes to ensure the accuracy and integrity of data throughout the pipeline
• Coordinate with cross-functional teams to ensure alignment on project goals, timelines, and deliverables
• Continuously monitor data workflows and pipelines for performance, reliability, and efficiency, implementing improvements as necessary
• Create and maintain comprehensive documentation for data processes, architecture, and workflows to ensure knowledge sharing and compliance, * We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

• Bachelor's degree in computer science, Data Science, Information Technology, or a related field
• Proficiency in programming languages such as Python and SQL, along with experience in data modeling and database design
• 5+ years of experience working as a Data Engineer and possess a strong understanding of ETL and ELT concepts
• Experience with API integration and Data ingestion from various sources, ensuring seamless data flow between systems
• Experience with data testing (functional and automated) including proper documentation procedures and automation principles

What makes you stand out :

• Familiarity with data processing frameworks, particularly Apache Spark.
• Experience working with cloud platforms such as AWS or Azure
• Experience with AI integration on test environments
• Ability to manage QA Engineers and guide through SCRUM calls
• Familiarity with data warehousing solutions and technologies, including Databricks and Snowflake.

Marsh, Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.