Company:
MMC Corporate

Description:

AWS Data Engineer

What can you expect?

As a Data Engineer, you will develop and maintain a perfect data pipeline design. You will help Improve internal processes by identifying, planning, and putting them into practice. Examples include automating manual operations, improving data delivery, re-designing infrastructure for increased scalability, etc. You will create the infrastructure essential for effective data extraction, conversion, and loading from a wide range of data sources utilizing SQL and AWS big data technologies. Construct analytics solutions that utilize the data funnel to offer actionable insights into gaining new customers, improving operational effectiveness, and other crucial company performance indicators. Maintain the privacy and security of data across international borders by using several data centers and AWS regions. Develop data tools for the analytics and data scientist team members to help them develop and optimize our product into a cutting-edge market leader. Work with data and analytics professionals to improve the operation of our data systems.

You will have an opportunity to work on our internal application - Blue[i] Analytics Solutions:

Blue[i] is Marsh's next-generation analytics suite of digital solutions that delivers our industry-leading data and actionable insights through an intuitive, interactive, and engaging platform, allowing you to make critical business decisions with confidence.

What is in it for you?

• Leading training and development program
• Hybrid work from home flexibility

• Health care and insurance for you and your dependents and Flexible benefits packages to suit your needs and lifestyle

• Professional environment where your career path really matters and is supported in our global organization
• Excellent career diversification opportunities
• Great team environment with energetic and supportive colleagues

What you need to have:

• Someone with 3-5 years' experience as a DevOps data engineer
• AWS data services experience in particular CloudFormation and/or Terraform), EMR, Glue RDS, S3, EC2, Redshift and other data infrastructure automation services
• Infrastructure automation through DevOps scripting using - Python, R, SparkQL or PowerShell. Can consider someone with JAVA
• Querying and managing data - SQL
• Data modelling - Relational, Dimensional, NoSQL, Snowflake
• Code Management System - GitHub, BitBucket or Gitlab
• Experience with CI/CD practices & tools - Gitlab, Jenkins. Experience in Big Data, Spark, Hadoop, and Hive
• Ability to engage with senior level stakeholders and having a broad influence in the internal team
• Experience supporting technical projects
• Must have a degree on either BE/ BTECH/ MCA/ M TECH

What makes you stand out:

• Should be able to work independently, capable of applying judgment to plan and execute your tasks.
• Ability to work in team across multiple projects and multiple geographies.
• Have Good communication and presentation skills.
• Ability to multitask and liaise with multiple stakeholders.
• Ability to identify process improvement opportunities.
• Adaptability to change.

About Marsh:

Marsh is the world's leading insurance broker and risk adviser. With more than 45,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh McLennan (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy, and people. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. For more information, visit marshmclennan.com, follow us on LinkedIn and Twitter.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. Note: the changes to our hybrid work policy do not apply to officially designated remote workers and are subject to any works council or local legal requirement.