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 qualified 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 , Strong 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 environment
- Familiarity with data quality assurance, testing, and validation processes
- Ability to work independently and manage assigned tasks with limited oversight
- Strong 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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