Data Engineer

Job Summary

Job Title - Data Engineer

Position type- Full Time

Work Location- Bangalore

Working style- Hybrid

Cab Facility- Yes

Shift Time - 12:00 PM - 9:00 PM IST time

People Manager role: No

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

Required years of experience - 7 years of relevant experience

General Description of Role

Aon has transitioned to a product-oriented model and is investing in capabilities like never before. This role will give the chosen candidate a unique opportunity to shape the product and data delivery model for our Commercial Risk Ecosystem to drive significant revenue and efficiency opportunities across all countries where Aon operates.

Job Responsibilities

• Cross-functional Team: Work within a cross-functional Agile team alongside Product Owner, Data Architect and Data Analysts to deliver on release goals for a global program
• Data Workload Design: Design scalable and efficient data workloads architectures that integrate our transactional systems with a new lakehouse data model.
• Data Integration: Develop, test and maintain data pipelines (ETL) for integrating diverse data sources into a unified format embedding best practices and standards.
• Data Management: Manage and optimize data to ensure efficient data storage, retrieval, and processing.
• Data Quality Management: Implement automated data quality checks and ensure data integrity throughout the migration process.
• Documentation: Create and maintain comprehensive documentation for data processes, ensuring knowledge transfer, observability and supportability.
• Performance Monitoring: Monitor and optimize data performance to meet defined service-level agreements.
• Troubleshooting: Identify and resolve data-related issues in a timely manner, collaborating with relevant teams.

Skills/Competencies

• Advanced Technical Skills: In-depth knowledge in programming languages such as Python incl. Spark/Scala.
• Experience with ETL tools and lakehouse architectures (3+years) through Databricks, Apache SparkSql and similar
• Strong SQL skills for data manipulation and querying
• Pipeline efficiency optimization skills
• Hands on experience with Agile technical practices, source versioning and Agile project management tools (Azure Repos, GitLab, Azure DevOps, Jira, Confluence, other)
• Database Knowledge: Familiarity with relational and non-relational databases (Oracle, MSSQLServer).
• Agile planning skills - Kanban and Scrum release/sprint planning.
• Problem-Solving: Proven ability to solve complex data engineering challenges and optimize system performance.
• Good communication and interpersonal skills to collaborate effectively with team members and stakeholders
• College degree in STEM-related discipline.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.