Job Title- Data Engineer

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 4+ years of relevant experience

About The Role The Data Engineer will contribute to the Altair modernization program by developing and maintaining data pipelines on Azure and Databricks. You will work on building scalable data solutions that support reinsurance analytics, Property &

- Casualty loss ratio calculations, and workflow automation. As an individual contributor, you will collaborate with Senior Data Engineers, Solution Architects, Business Analysts, and domain SMEs to deliver reliable data assets. This role offers an excellent opportunity to work on a large-scale modernization initiative, gain exposure to the reinsurance domain, and develop expertise in modern cloud data platforms and AI-enabled solutions.

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

Data Pipeline Development

- Develop and maintain data ingestion, transformation, and integration pipelines on Databricks using PySpark
- Build ETL/ELT workflows to process structured and unstructured data from multiple upstream systems
- Implement data transformations following established design patterns and best practices
- Support data imports using Unity Catalog and agreed ingestion patterns
- Contribute to the development of data flows for the Altair modernization program

Data Quality &

- Governance

- Implement data quality checks, validation processes, and error handling in data pipelines
- Support data governance, security, lineage, and compliance standards
- Develop and maintain data models and schemas for reinsurance business processes
- Ensure data accuracy and reliability for downstream analytics and reporting

Business Requirements &

- Collaboration

- Work with Business Analysts and SMEs to understand reinsurance business requirements
- Translate moderately complex business requirements into technical data solutions
- Collaborate with Product Owners, Project Managers, and QA Engineers to deliver data assets
- Participate in requirement gathering sessions and provide technical input

Technical Development &

- Best Practices

- Write clean, maintainable, and well-documented code following team standards
- Participate in code reviews and incorporate feedback to improve code quality
- Contribute to the development of reusable components and data engineering patterns
- Create technical documentation and operational procedures for data pipelines

Support &

- Optimization





- Monitor data pipeline performance and reliability
- Troubleshoot data issues and implement fixes in collaboration with senior team members
- Support production data pipelines and respond to operational issues
- Identify opportunities for pipeline optimization and performance improvement

Learning &

- Knowledge Transfer

- Participate in knowledge transfer sessions with external vendors and senior team members
- Learn about reinsurance domain concepts, business processes, and analytics requirements
- Stay updated on Azure, Databricks, and data engineering best practices
- Contribute to building in-house capabilities and reducing vendor dependency

About The Project You will be joining the RAPID team focused on the Altair modernization program. The team is building a up-to-date, Azure-based version of Workflow Studio that integrates multiple applications and enables end-to-end process custody from data intake through client deliverables in the reinsurance domain. The program involves decomposing existing Altair capabilities and re-implementing them across three core layers: Databricks (data architecture layer), Workflow Studio (process custody layer), and Blueprint/Remetrica (visualization and analytics layer). You will work with a collaborative team including Solution Architects, Product Owners, Project Managers, Senior Data Engineers, QA Engineers, and reinsurance SMEs. Existing projects in the ecosystem include Workflow Studio, Blueprint, Remetrica, and Altair manual processes. This role offers excellent growth opportunities and exposure to modern cloud technologies, AI-enabled solutions, and the reinsurance domain.

What You'll Gain

- Hands-on experience with modern cloud data platforms (Azure, Databricks, PySpark)
- Exposure to large-scale modernization and migration programs
- Understanding of reinsurance domain and Property &
- Casualty analytics
- Opportunity to work with AI-enabled data solutions and emerging technologies
- Collaboration with experienced engineers, architects, and domain experts
- Career growth path in data engineering and cloud technologies
-

Required Qualifications Skills and experience that will lead to success Education &

- Experience

- Bachelor's degree in Engineering, Computer Science, Data Engineering, Information Systems, or related field
- 4+ years of experience in data engineering, software engineering, or big data development
- Experience developing ETL/ELT pipelines and working with large-scale datasets

Technical Skills





- Solid proficiency in Python for data processing and engineering
- Strong expertise in SQL for data manipulation and analysis
- Experience with PySpark or willingness to learn and work with distributed data processing
- Knowledge of Databricks or similar cloud data platforms
- Understanding of Azure data services or other cloud platforms (AWS, GCP)
- Experience with ETL/ELT workflows and data integration
- Understanding of data modeling and data quality principles
- Familiarity with version control systems (Git) and CI/CD concepts

Business &

- Analytical Skills

- Ability to understand and translate business requirements into technical solutions
- Good analytical and problem-solving skills
- Basic understanding of statistical concepts
- Strong communication skills to collaborate with technical and non-technical stakeholders
- Ability to work independently with guidance from senior team members
- Eagerness to learn about new domains and technologies.

Preferred Qualifications

- Exposure to insurance, reinsurance, or financial services domains
- Familiarity with Unity Catalog for data governance
- Understanding of Property &
- Casualty insurance or loss ratio calculations
- Knowledge of business process management or workflow concepts
- Interest in AI/ML and experience with Azure OpenAI or LLM technologies
- Familiarity with microservices architecture and APIs
- Experience with workflow orchestration tools (Airflow, Azure Data Factory, etc.)
- Azure certifications or willingness to pursue certifications
- Exposure to Agile development methodologies
- Experience working in collaborative, cross-functional teams

How We Support Our Colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive workplace 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 [email protected]

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.

2586660

📌 Data Engineer (Bengaluru)
🏢 Aon
📍 Bengaluru