Data Engineer

Do you want to join a dynamic team that is transforming the world of data engineering at Marsh & McLennan Companies? We are looking for a Data Engineer who is passionate about data, eager to learn, and motivated to help us develop innovative solutions.The ideal candidate should have a strong technical background in data engineering, as well as a solid understanding of the principles underlying data analysis and data manipulation. You should also have experience working with big data technologies and databases such as Hadoop, Spark, and SQL. We require a Bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or a related field. You should also have a minimum of 2 years of experience in data engineering, data analysis, or related roles.If you are a highly motivated individual who loves working with data and is ready to take on new challenges, we would love to hear from you.

Responsibilities:

1. Design, develop, and maintain data engineering solutions to support data analysis and data manipulation.
2. Utilize big data technologies and databases such as Hadoop, Spark, and SQL to develop innovative solutions.
3. Perform data analysis and manipulation to identify and address complex data problems.
4. Collaborate with other teams to ensure data accuracy and integrity.
5. Monitor data engineering systems to ensure proper performance and operation.
6. Troubleshoot and resolve data engineering issues.
7. Develop and document best practices for data engineering.
8. Stay up-to-date with the latest technologies and trends in data engineering.

According to JobzMall, the average salary range for a Data Engineer in Boston, MA, USA is $90,000 - $105,000.

Marsh & McLennan Companies, Inc. is a global professional services firm, headquartered in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting.