Marsh McLennan
Location
Pune | India
Job description
MMC Job Advertisement Senior Principal Engineer – Data Engineering ( Cloud )
Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. · Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. · 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 wellbeing 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 marshmclennan.com, or follow us on LinkedIn and Twitter. We are looking for a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for the end-to-end data loading process, transforming raw data into a format that can be easily utilized by our Data Analytics and Business Intelligence (BI) team. Your role will be crucial in ensuring the availability and reliability of data for creating insightful dashboards in QlikSense. Career Business team is seeking candidates for the following position based in the Mumbai/Pune office: Cloud Data Engineer What can you expect? A platform to develop digital/web based data analytics products using advance analytics and BI Tools to provide business actionable insights to support their go to market strategy and build new prospects or support current. A chance to work with Industry leaders, global clients and access to latest trends in Health business globally. Joining a team of data scientist and data visualization experts with an avg exp of 9 yrs in the business. On job training on real client projects with mentoring/training from experts. What is in it for you? Discover what's great about working at Marsh and McLennan Companies – from the opportunities that our size brings, to our commitment to our communities and understanding the benefits you’ll receive. We are four businesses with one PURPOSE: helping companies meet the challenges of our time. As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organisation. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference. Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right.As a Marsh and McLennan Company colleague, you will also receive additional benefits such as: A competitive salary Employee friendly policies Health care and insurance for you and your dependants Healthy Work life balance A great working environment Flexible benefits packages to suit your needs and lifestyle Future career opportunities across a global organisation We will count on you to: Design and implement data pipelines to extract, transform, and load (ETL) data from various sources into our S3 data lake. Develop and maintain data ingestion processes to ensure the timely and accurate loading of data into the data lake. Collaborate with cross-functional teams to understand data requirements and design efficient data models. Perform data cleansing, validation, and transformation to ensure data quality and consistency. Optimize data pipelines for performance and scalability to handle large volumes of data. Monitor and troubleshoot data pipelines to identify and resolve any issues or bottlenecks. Implement data governance and security measures to protect sensitive data. Collaborate with the Data Analytics and BI team to understand their data needs and provide them with the necessary data structures and formats. Work closely with the Data Analytics and BI team to ensure the data is properly structured and optimized for creating insightful dashboards in QlikSense. Document data engineering processes, data models, and data lineage for future reference. Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to enhance data processing and analysis capabilities. What you need to have: Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience of 6+ year as a Data Engineer or similar role. Strong knowledge of data engineering concepts, data integration, and ETL processes. Experience in designing and implementing data pipelines using tools like Nifi, Dremio, Apache Spark, Apache Kafka, or AWS Glue. Proficiency in SQL and scripting languages like Python or Scala. Familiarity with cloud platforms like AWS or Azure and their data services (e.g., S3, Redshift, Azure Data Lake). Experience with data modeling and database design principles. Knowledge of data governance and security best practices. Familiarity with data visualization tools like QlikSense or Tableau is a plus. Strong analytical and problem-solving skills. Excellent attention to detail and ability to work with complex datasets. Strong communication and collaboration skills. Ability to work independently and in a team-oriented environment. What makes you stand out? Certification into Azure technology Certification into AWS Building ‘Trust in Data’ and become the ‘Engine room’ for Analytics’ empowering to make informed decision Wealth Analytical Services - Together we deliver exceptional results!Job tags
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