- As a Data Engineer Analyst you will design and maintain data systems and architectures. Ensure that data is available, accessible, and ready for analysis by data scientists, analysts, and another end user.
- Opportunity to interact with different areas of Marsh and career growth.
- Work in a diverse culture and global team which enhance solution and innovation.
- Hybrid work (home/office).
- Life Insurance
- Major Medical Insurance
- Christmas bonus
- Food allowance
- Saving fund
- Additional days off.
- Among others.
- Create and maintain highly scalable data pipelines across Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala, Python, SQL
- Responsible for managing a growing cloud-based data ecosystem and reliability of our Corporate datalake and analytics data mart.
- Contribute to the continued evolution of Corporate Analytics Platform and Integrated data model.
- Identify gaps and weaknesses in our data stack and continue to guide learning advancements for the team.
- Provide technical expertise and leadership to Data Engineering team in all phases of work including analysis, design, and architecture to develop and implement cutting-edge solutions.
- Negotiate and influence changes outside of the team that continuously shape and improve the Data strategy.
- Bachelor's degree.
- 3 years' Experience using Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala, SQL, Python
- Excellent oral and written communication skills both in English and Spanish
- English proficiency (must have).
- Excellent analytics and creative skills.
- Strong interpersonal skills to work with Technical and Non-Technical personnel.
- Demonstrate ability to effectively manage knowledge and technical application document repository.
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Data Engineering Analyst - Huixquilucan, México - Marsh McLennan Companies
Descripción
Description:
We are MarshMcLennan, we offer consulting and risk management services, insurance brokerage and insurance program management for different sectors of the economy through the business units: Marsh, Mercer, Guy Carpenter and Oliver Wyman.
At Marsh we are looking for candidates for the following position located in México City:
Data Engineering Analyst
What can you expect?
What's in it for you?
We will count on you to:
What do you need to have?
What makes you stand out?
(NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's more than 85, colleagues advise clients in over countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. data-driven risk advisory services and insurance solutions to commercial and consumer clients. develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit , or follow us on and .
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.
