Data Engineering Analyst-Databrick, ADF, ADL

Posted 19 Hours Ago
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Paseo Real, Atizapán de Zaragoza, México
Senior level
Fintech • HR Tech • Insurance • Consulting
The Role
The Data Engineering Analyst will create and manage scalable data pipelines in Azure while ensuring the reliability of the data ecosystem. Responsibilities include technical leadership for data-related tasks, addressing data stack weaknesses, and supporting the Corporate Analytics Platform's evolution.
Summary Generated by Built In

Company:MMC Corporate

Description:

We are seeking a talented individual to join our Data Engineering team at Marsh McLennan. This role will be based in Mexico City, Torre Mayor Office. This is a hybrid role that has a requirement of working at least three days a week in the office.

In this position, you will play a crucial role in creating and maintaining highly scalable data pipelines across Azure Data Lake Storage and Azure Synapse. You will be responsible for managing our cloud-based data ecosystem and ensuring the reliability of our Corporate datalake and analytics data mart, while also contributing to the evolution of our Corporate Analytics Platform.

We will count on you to:

  • Create and maintain highly scalable data pipelines using Azure Data Lake Storage, Azure Synapse, Data Factory, Databricks, Apache Spark/Scala, SQL, and Python.
  • Manage a growing cloud-based data ecosystem and ensure the reliability of our Corporate datalake and analytics data mart.
  • Contribute to the continued evolution of the Corporate Analytics Platform and Integrated data model.
  • Identify gaps and weaknesses in our data stack and guide learning advancements for the team.
  • Provide technical expertise and leadership to the Data Engineering team in all phases of work, including analysis, design, and architecture.
  • Negotiate and influence changes outside of the team to continuously shape and improve the Data strategy.

What you need to have:

  • Bachelor's degree.
  • 2 years of experience using Databricks, SQL, and Python.
  • Experience working with AWS or any other Cloud service platform compatible with Databricks.
  • Knowledge in Azure Data Lake Storage, Azure Synapse, Data Factory (desirable)
  • Excellent oral and written communication skills in both English and Spanish.

What makes you stand out:

  • Experience with advanced data engineering techniques and tools.
  • Familiarity with data governance and data quality frameworks.
  • Proficiency in Apache Spark/Scala

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 an 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.

Marsh McLennan (NYSE: MMC) 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 $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.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.



Top Skills

Python
Scala
The Company
HQ: New York, NY
78,000 Employees
On-site Workplace
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries.

Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity.

Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics.

Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people.

Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society.

Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

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