Our client is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The ideal professional will be responsible for designing and building data pipelines for enterprise data through ETL / ELT processes.
Some of the key responsibilities will include :
- Responsible for designing and building data pipelines for enterprise data through ETL / ELT processes.
- Develop and maintain large-scale data platforms, data lakes and cloud solutions.
- This role is vital for building and maintaining enterprise data platforms, data processes, and to support business objectives.
To be eligible for this role you will require :
Experience in designing and building Data Warehouse and Data lakes.Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server.Experience with public cloud-based data platforms especially Snowflake and AWS.Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage.Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues.Experience in Gitlab version control and CI / CD processes.Experience working in the Financial Industry is a plusPlease note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.
Job ID 15052