Principal Engineer

2 weeks ago

Mumbai, Maharashtra, India MMC Corporate Full time

Marsh McLennan is seeking candidates for the following position based in the Pune/ Mumbai office:

Data Engineer Analyst

What can you expect?

  • Critical team member in the design and development for highly complex and critical data projects
  • Leverage research and previous experience to ensure we're up-to-date and continuously exploring
  • We are passionate about trying new things and we follow through with 10% time and Tech hack-a-thons
  • Excellent Professional development and Career growth opportunities

What is in it for you?

  • Standard MMC Salary Package
  • Standard MMC Colleague Benefits
  • Work in a diverse culture and global team
  • Grow in culture focused on training and mentoring

We will count on you to:

  • Create and maintain highly scalable data pipelines across Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala
  • 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.
  • Be part of 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

What you need to have:

  • 5+ years of experience in tier 1 or 2 IT services companies or Tier 1 captives
  • 4+ years of experience implementing analytics data Solutions leveraging Azure Data Factory, Databricks, Logic Apps, ML Studio, Datalake and Synapse
  • Working experience with Scala, Python or R
  • Bachelor's degree or equivalent experience in Computer Science, Information Systems, or related disciplines.

What makes you stand out?

  • Excellent communication and presentation skills
  • Domain knowledge in one of more of Corporate functions such as HR, Finance, Real Estate is preferred
  • Excellent Problem solving skills with innovative and proactive approach
  • Ability to recommend and implement best practices and processes

About Marsh McLennan:

Marsh McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer 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. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit , or follow us on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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.

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