Sr Data Engineer

hace 6 meses

Colonia Polanco, México Mercer A tiempo completo

Marsh McLennan is the industry leader in helping companies create dynamic solutions that make a difference in the moments that matter. We are searching for a **Sr Data Engineer.**

**What can you expect?**

This role will be aligned with US Health & Benefit line of business, and working on a number of data & analytics projects as part of the team.

**What is in it for you?**
- A company with a strong Brand and strong results to match
- Culture of internal mobility, collaboration and valued partnership from the business.
- Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities and interactions with counterparts in industry groups and client organizations.
- Entitled to vacation, floating holidays, time off to give back to your community, sick days, and national holidays (with early dismissal).

**We will count on you to**:

- Conceptualize and implement a comprehensive, thoughtful, and best-in-class data ingestion and processing capabilities that will support and enhance our New Data Platform.
- Provide technical leadership, leading the team to build reusable and scalable data pipelines and new API integrations to support continuing increases in data volume and complexity
- Understand data landscape i.e., tooling, tech stack, source systems etc. and work closely with extended platform teams to improve data collection, quality, reporting and analytics capabilities
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision-making across the organization
- Participate in all aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
- Troubleshoot incidents, identify root causes, fix, and document problems, and implement preventive measures
- Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity
- Actively contribute toward our culture of continuous learning by proactively identifying and evangelizing best practices globally.
- Performs other duties as assigned.

**What you need to have**:

- Excellent written and verbal communication skills in English
- Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
- 5+ years of relevant Data Ingestion/ETL/ELT, Big Data and Data Visualizations experience in mission-critical platforms.
- Strong Python or Java development and SQL experience
- Experience with schema design and dimensional data modelling.
- Experience working on AWS and related services (not limited to) such as Glue, Athena, S3.
- Must have experience working in a fast-paced environment with rapidly changing expectations and requirements(Agile)

**What makes you stand out**
- Strong AWS experience.
- Prior experience working in insurance services.
- Experience in Databricks
- Experience in Informatica data quality and governance tools

**If you are interested, please send your CV in English.**

**Interviews will be held in English.**

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 based teams will identify at least one “anchor day” per week on which their full team will be together in person. 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.

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