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- Work closely with product owner(s), investment analysts and other developers on the requirements, design and delivery of analytics solutions/products for the Investment Consulting domain.
- Design, develop and maintain database, ETL, analytics and visualization component of the solutions to support scalable analytical reports.
- Adhere to development/testing standards and processes.
- Enhance applications by identifying opportunities for on-going improvements, e.g. refactoring, performance tuning and bug fixing.
- Take ownership of assigned tasks and applications and ensure effective operation of business systems through Level 2/3 support of application incidents, code/data fixes, testing & release processes.
- Track and report on progress to local Lead Developer and Product Owner(s).
- Leverage capabilities of Aon’s Data Analytics Service Platform and integrate our solutions with data engineering and data analytics tools.
- 2 - 5 years’ experience in a Data Engineer role as part of a team.
- BS or MS degree in Computer Science, Information Technology or equivalent.
- Strong experience in RDBMS (SQL Server).
- Good knowledge of OLAP architecture design.
- Good knowledge in Data Modeling (e.g. Star/snowflake schema, etc).
- Good experience with Python, C#.
- Good experience in SQL design & tuning, stored procedures.
- Experience in Data Engineering/ETL tools such as Databricks, Snowflake, SSIS, StreamSets, etc.
- Experience in Power BI is a plus.
- Experience with Git, Jira, Agile Scrum is a plus.
- Strong problem-solving and analytical skills and a good team-player.
- Work closely with product owner(s), investment analysts and other developers on the requirements, design and delivery of analytics solutions/products for the Investment Consulting domain.
- Design, develop and maintain database, ETL, analytics and visualization component of the solutions to support scalable analytical reports.
- Adhere to development/testing standards and processes.
- Enhance applications by identifying opportunities for on-going improvements, e.g. refactoring, performance tuning and bug fixing.
- Take ownership of assigned tasks and applications and ensure effective operation of business systems through Level 2/3 support of application incidents, code/data fixes, testing & release processes.
- Track and report on progress to local Lead Developer and Product Owner(s).
- Leverage capabilities of Aon’s Data Analytics Service Platform and integrate our solutions with data engineering and data analytics tools.
- 2 - 5 years’ experience in a Data Engineer role as part of a team.
- BS or MS degree in Computer Science, Information Technology or equivalent.
- Strong experience in RDBMS (SQL Server).
- Good knowledge of OLAP architecture design.
- Good knowledge in Data Modeling (e.g. Star/snowflake schema, etc).
- Good experience with Python, C#.
- Good experience in SQL design & tuning, stored procedures.
- Experience in Data Engineering/ETL tools such as Databricks, Snowflake, SSIS, StreamSets, etc.
- Experience in Power BI is a plus.
- Experience with Git, Jira, Agile Scrum is a plus.
- Strong problem-solving and analytical skills and a good team-player.