Marsh & McLennan Companies

Company:

Guy Carpenter

Description:

Data Engineer

We are seeking a Data Engineer to join our team at GC. This role will be based in Mexico City. 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 GC, will serve as the facilitator for multiple innovative initiatives, with ownership over the design, development, and delivery of projects that require direct reporting to senior-level management in both business and technical groups.

We will count on you to:

• Back Develop, deploy, and maintain custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting, and new data products.
• Innovate new ways to leverage large and small datasets, including semi- and unstructured data, to drive revenue via the development of new products or the enhancement of existing products.
• Maintain and improve the stability and performance of the data platform environment, including Databricks workspaces that support over 10 applications and more than 300 users.
• Ingest, store, and create products using geospatial data, including geocoding and geospatial joins.
• Perform exploratory and goal-oriented data analyses to understand and validate the requirements of data products and help create product roadmaps.
• Develop, implement, and deploy APIs and UIs, which may include business intelligence dashboards and file ingestion mechanisms.

What you need to have:

• 3- 6+ years of relevant experience in data-focused software engineering
• Master’s Degree, or equivalent experience in computer science, or related quantitative field such as data science or applied mathematics.
• Strong experience in Python and familiarity with OOP and functional programming principles.
• Extensive experience with (Py)Spark.
• Strong knowledge of SQL and familiarity with the high-level properties of modern data stores.
• Experience building and maintaining CI/CD pipelines with tools such as GitHub Actions, Azure DevOps, Jenkins, etc.
• Advanced Level of English is a Must

What makes you stand out:

• Experience with Databricks and optimizing Spark clusters
• Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworks
• Experience with Datadog or similar monitoring/alerting tools.

Why join our team:

• 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.

Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

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.