Data Engineer

Level: General

Location: India

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 10,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.

Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading skilled services firm, Marsh McLennan (NYSE: MMC).

A day in life.

We are seeking a highly capable Senior Data Engineer to join the East Data Engineering Group . This role is focused on supporting a growing portfolio of projects related to data ingestion, automation, data structuring, quality assurance, and system integration .

Responsibilities
Design, build, and maintain data pipelines and engineering workflows
Develop and optimize solutions using SQL, Python, and Databricks




Independently manage and deliver tasks assigned from the project backlog
Support initiatives involving:
Data ingestion, Process automation, transformation
Data quality assurance and validation
Data and system integration
Ensure data accuracy, reliability, and operational efficiency across workflows
Follow best practices in data engineering, documentation, and quality control
Strong experience in SQL , Robust programming experience in Python
Hands-on experience with Databricks
Solid understanding of data engineering concepts, including pipeline development and automation
Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
Ability to collaborate effectively in a distributed/global team workplace
Familiarity with data quality assurance, testing, and validation processes
Ability to work independently and manage assigned tasks with limited oversight
Solid analytical, problem-solving, and communication skills

Qualifications

Nice to have Skills:
Experience with Power BI , Qlik , or similar BI tools.
Familiarity with data warehousing and dimensional modeling.

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