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We are seeking a talented individual to join our Mercer Team at Marsh. This role will be based in Noida/Gurgaon/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Principal Engineer - Data Engineerin g We will count on you t o:As a Data Engineer, you will be responsible for designing and implementing scalable data pipelines a nd AI Based solution using Databrick s. You will handle end-to-end ETL/ELT processes, manage large datasets, an d work with tools like Python, PySpark, and AWS S3 to ensure data is transformed and optimized for analytical use . You’ll work on cutting-edge cloud and hybrid data projects, transforming raw data into meaningful insights and AI Analytics. You’ll be hands-on from day one, collaborating closely with architects and business stakeholder s. What you need to hav e: Develop and maintain data pipelines using Databricks and the Medallion Architecture (Bronze, Silver, Gold layer s).Design AI Based Solution using Databricks Genie and E2E integrati on.Knowledge of exposing/consuming Databricks features via API using cloud-native tools or other applicati on.Write data transformation scripts using Python and PySpa rk.Store and manage real time data in AWS S3 and integrate with other cloud-based servic es.Use SQL to query, clean,



and manipulate large datase ts.Collaborate with cross-functional teams to ensure data is accessible for business intelligence and analyti cs.Monitor and troubleshoot data pipelines for performance and reliabili ty.Document data processes and follow best practices for scalability and maintainabili ty.Ingest and process structured and unstructured data across batch and streaming sourc es. What makes you stand out? Experience with Databricks components like : Pipeline, scheduled / event based job , Genie , Unity Catalog and Datawareh ouse.Proficiency in Python, PySpark, and SQL for data processing and transformation using AWS S3 data.Experience in Data Governance , data access security , and information of configuring Job compute for different Jobs in Databr icks.Familiarity with version control using Git.Understanding of Databricks API and its integration with different Tools and applica tion.Bulk data and real time data streaming understan ding.Experience with Delta Lake and other Databricks technologies. Knowledge of additional AWS services (e.g., Athena, Glue, Lambda, S3, D MS ). Why join our team:We help you be your best through professional development opportunities, interesting work and supportive le aders.We foster a vibrant and inclusive culture where you can work with talented colleagues to create recent solutions and have impact for colleagues, clients and commun ities.Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well- being.

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📌 Senior Data Engineer - AI (Uttar Pradesh)
🏢 Marsh
📍 Uttar Pradesh