Marsh McLennan

Senior Principal Data Engineer

Marsh McLennan
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

Senior Principal Engineer - Data Engineering

Company:

Marsh Corporate

Description:

We are seeking a talented individual to join our IDO team at Marsh. This role will be based in Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

As a senior individual contributor within the Innovation & Data Organization team, the Senior Data Engineering Analyst will design, build, and maintain scalable, reliable data infrastructure and pipelines across multi-cloud environments. This role supports Marsh’s multiple functions by enabling advanced data and analytics solutions, collaborating closely with analytics, cloud architects, and data platform engineers. The ideal candidate will have strong expertise in cloud data engineering, proficiency in SQL and Python, and a forward-looking understanding of AI and automation technologies to drive innovation and efficiency.

We will count on you to:

  • Design, develop, and maintain scalable data pipelines and architectures across Azure, AWS, and/or GCP using tools like Azure Data Lake Storage, Azure Data Factory, Databricks, Apache Spark/Scala, and equivalent multi-cloud services.
  • Manage and optimize a growing cloud-based data ecosystem, ensuring the reliability and performance of corporate data lakes and analytics data marts.
  • Collaborate with cross-functional teams to define and implement data strategy, including data acquisition, ingestion, and integration from diverse sources and formats.
  • Develop and deploy custom data pipelines that support machine learning models, business intelligence dashboards, and new data products.
  • Implement data quality assurance practices using automated validation frameworks such as dbt or Great Expectations.
  • Establish metadata management standards, including data lineage and stewardship for high-value datasets.
  • Identify and implement automation opportunities leveraging AI capabilities and advanced data modeling to enhance data workflows and business outcomes.
  • Enforce strong development standards through code reviews, testing, and monitoring.
  • Stay current with emerging trends in data engineering, AI, and cloud technologies to continuously improve data solutions and align with Marsh’s data strategy.
  • Evangelize best practices in data engineering and AI adoption across the organization.

What you need to have:

  • BE /B.Tech /MCA /BSc.(IT)
  • 6+years of experience
  • Advanced proficiency in SQL and Python.
  • Hands-on experience with cloud data platforms, preferably multi-cloud (Azure, AWS, GCP).
  • Strong knowledge of data pipeline frameworks and big data technologies such as Apache Spark and Databricks.
  • Familiarity with AI/ML concepts and practical applications in data engineering.
  • Experience with data quality frameworks and metadata management.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Professional certifications in Databricks, MS Azure, AWS, GCP etc.
  • Experience with automation and AI-driven data engineering tools.
  • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Exposure to modern data governance and security practices.

What makes you stand out?

  • Candidates must possess full professional proficiency in both written and spoken English
  • Strong problem-solving and troubleshooting skills.
  • Strong communicator, in both verbal and written form, able to articulate concepts and ideas, break through barriers, engage people, and work effectively with others under pressure.
  • Neutral toward technology, vendor, and product choices more interested in results than in personal preferences.
  • Unflappable in the face of opposition to ideas

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.
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.Marsh 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 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 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.

Experience Level

Senior Level

Job role

Work location
Work locationPune - Panchshil, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameMarsh McLennan
Job posted by Marsh McLennan

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