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We are seeking a highly skilled Senior Data Engineer to join our team at Marsh McLennan. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining data solutions on the Amazon Web Services (AWS) platform.
Key Responsibilities:- Design and implement data pipelines, data lakes, and data warehouses using AWS services such as EMR, S3, Glue, IAM, EC2, and KMS.
- Collaborate with data scientists, analysts, and other stakeholders to ensure data quality, availability, and security.
- Develop and maintain data models, perform data processing, and optimize data storage and retrieval.
- Work with large datasets, streaming data, and various AWS services to build scalable and efficient data solutions.
- 3+ years of experience in data engineering with a focus on AWS services.
- Strong knowledge of Java, Spring Boot, and containerization.
- Experience with APIGEE and API gateways is a plus.
- Good understanding of core AWS services, including VPC, IAM, EC2, and Serverless.
- Proficiency in SQL and relational databases.
- Experience with Git and version control.
- Knowledge of Big Data, Spark, and Hive is a plus.
- Opportunity to work with a leading professional services firm in the areas of risk, strategy, and people.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
- Competitive salary and benefits package.
Marsh McLennan is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees. If you are passionate about data engineering and want to join a dynamic team, please submit your application.
