Senior Data Engineer

Job Title- Senior Application Developer- Databricks & cloud Analytics

Position type- Full Time

Work Location-Bangalore

Working style- Hybrid

People Manager role: No

Required education and certifications critical for the role-Any Graduate or Post-Graduate (full time)

Required years of experience -Minimum 7+ years of relevant experience

About the Role

The Senior Application Developer is responsible for the development, quality, scalability, and delivery of enterprise analytics, data engineering, and cloud-native applications supporting Reinsurance Analytics solutions. This role will lead to the design and implementation of architecturally sound solutions, provide detailed technical designs, and drive the development of modern data platforms and analytical applications.

The position requires extensive hands-on experience with Databricks and modern cloud technologies to build scalable data pipelines, advanced analytics solutions, and machine learning platforms. The role will also support the transformation and modernization of analytics applications through cloud-native architecture, automation, and data platform engineering best practices.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

• • Play a key role in the design, development, and implementation of enterprise-scale data and analytics solutions using Databricks and Azure Cloud technologies.
  • Collaborate with business stakeholders, architects, product owners, and development teams to translate business requirements into scalable technical solutions.
  • Design and develop robust ETL/ELT pipelines using Azure Databricks, Apache Spark, and cloud-native services.
  • Build and optimize data models, data lakes, data warehouses, and Lakehouse architectures to support advanced analytics and reporting.
  • Develop high-performance data processing frameworks capable of handling large-scale structured and unstructured datasets.
  • Lead the implementation of modern data engineering best practices including CI/CD, Infrastructure as Code, automated testing, and observability.
  • Support machine learning and AI initiatives by designing data pipelines and feature engineering frameworks for analytics use cases.
  • Participate in architecture reviews and provide recommendations on technology selection, scalability, security, and performance optimization.
  • Mentor junior developers and data engineers on Databricks development standards, coding practices, and cloud architecture patterns.
  • Partner with global teams to modernize legacy applications and migrate workloads to Azure Cloud and Databricks platforms.
  • Ensure adherence to Agile development methodologies, DevOps practices, and enterprise governance standards.
  • Troubleshoot complex production issues and implement sustainable solutions for platform reliability and performance.
  • Contribute to the continuous evolution of the Analytics technology roadmap and cloud transformation initiatives.

About the Project

You will be joining the RAPID team working on the Altair modernization program. The initiative involves building a modern, Azure-based Workflow Studio that integrates multiple applications and enables end-to-end process custody from data intake through client deliverables in the reinsurance domain. You will work with a collaborative team including Solution Architects, Product Owners, Project Managers, QA Engineers, and reinsurance SMEs. The program is decomposing existing Altair capabilities and re-implementing them across Databricks (data layer), Workflow Studio (process layer), and Blueprint/Remetrica (analytics layer). Other existing projects in the ecosystem include Workflow Studio, Blueprint, Remetrica, and Altair manual processes.

Skills and experience that will lead to success

• Technical Experience

  • 8+ years of application development, data engineering, or analytics platform development experience.
  • 5+ years of hands-on Databricks development experience in enterprise environments.
  • Strong expertise with Apache Spark, PySpark, Spark SQL, and Delta Lake.
  • 5+ years of Python development experience.
  • Experience developing scalable data engineering solutions using Azure Databricks.
  • 5+ years of experience working with Azure Cloud services, including:
  • Azure Data Lake Storage (ADLS)
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Key Vault
  • Azure Functions
  • Azure DevOps
  • Azure SQL Database
  • Experience implementing Medallion Architecture and Lakehouse design patterns.
  • Strong SQL development and performance tuning expertise.
  • Experience building real-time and batch data processing solutions.
  • Hands-on experience with Git, CI/CD pipelines, DevOps practices, and automated deployment frameworks.
  • Experience with data governance, data quality frameworks, and enterprise security standards.
  • Familiarity with machine learning workflows and MLOps practices is preferred.
  • Experience integrating data from multiple enterprise and third-party systems.

  Professional Skills

  • Strong analytical and problem-solving capabilities.
  • Excellent written and verbal communication skills.
  • Proven ability to work effectively in a global, cross-functional team environment.
  • Strong stakeholder management and collaboration skills.
  • Ability to influence technical direction and drive best practices across development teams.
  • Excellent organizational, project management, and prioritization skills.
  • Experience working within Agile development frameworks.

  Education

  • Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical discipline.

  Preferred Qualifications

  • Databricks Certified Data Engineer Professional or equivalent certification.
  • Microsoft Azure certifications related to Data Engineering or Solution Architecture.
  • Experience with Reinsurance, Insurance, Financial Services, or Risk Analytics domains.
  • Experience with Generative AI, Machine Learning, and advanced analytics platforms.
  • Knowledge of Kubernetes, containerization, and cloud-native application development.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two Global Wellbeing Days each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

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