Manager - Data Engineering

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

Manager - Data Engineering

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 professional services firm, Marsh McLennan (NYSE: MMC).

We will count on you to:

• As a Data Engineer on the Data Service Delivery Team, you will design, implement, and maintain Azure ETL pipelines that support our data warehouse. You will play a key role in enabling our data teams to deliver insights efficiently and effectively.

• Develop and optimize data pipelines and ETL/ELT processes to support evolving business and analytics needs.

• Implement robust data ingestion frameworks using Azure Data Factory and Azure SQL. Ensure reliable extraction, transformation, and load of structured and unstructured data from diverse sources.

• Develop monitoring solutions to track data pipeline performance, system reliability, and data quality. Troubleshoot and optimize pipelines to ensure high availability, accuracy, and cost efficiency.

• Work closely with data analysts, data architects, and business stakeholders to understand data requirements. Provide technical guidance and ensure data availability, quality, and integrity for reporting and analytics.

• Stay up to date with the latest Azure data engineering technologies, tools, and best practices. Recommend and implement process improvements to enhance performance, scalability, and maintainability of data systems.

• Create and maintain detailed technical documentation for data models, pipelines, and operational procedures to promote consistency and team knowledge sharing.

What you need to have:

• Experience: 4+ years of experience in data engineering with a strong focus on Azure cloud-based data solutions.

• Cloud Database Expertise: Proven experience in one or more Cloud database environments such as Azure SQL, Synapse Analytics, Snowflake, BigQuery.

• Analytical Skills: Excellent problem-solving and analytical abilities with a strong focus on data quality, performance, and reliability.

What makes you stand out

• Strong expertise in any of the following Cloud Databases Azure SQL, Snowflake or Google BigQuery

• Proficient in SQL, ADF, SSIS.

• Familiarity with SSAS, Azure Analysis Services

• Familiarity with SQL best practices.

• Database administration knowledge - nice to have

• Databricks basic knowledge - nice to have

• Power BI - nice to have

• Azure and/or Data Engineer certification - nice to have

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.