FAQs
What is the main focus of the Senior Data Engineer role?
The main focus of the Senior Data Engineer role is to support the Asset Management's Equity and Common Data Platforms by developing specific product features, building resilient cloud-based services, and providing insights for Equity Advisors.
What educational background is required for this position?
A degree or equivalent in Computer Science, Engineering, or a related discipline is required.
How many years of experience in Oracle SQL & PL/SQL are required?
A minimum of 5 years of experience in Oracle SQL & PL/SQL is required.
Is experience in data analysis necessary for this role?
Yes, expertise in data analysis is necessary for this role.
What kind of development practices should the candidate have exposure to?
The candidate should have exposure to Agile development practices.
What additional skills are beneficial for applicants?
Familiarity with logical data modeling, data movement and ETL (preferably Informatica), experience with AWS services, Snowflake, Python, and knowledge in Data Warehousing are beneficial.
Is experience with GIT and Jenkins important for this position?
Yes, exposure to GIT, Jenkins, and CI/CD processes is important for this position.
Is prior experience in the financial and investment domains a plus?
Yes, exposure to financials and investment domains will be considered a plus.
What is the team environment for this position like?
The team environment consists of a global Equity Data team of approximately 30 associates working closely with members of the Common Data, Data Modeler, DBA, and Data Architecture teams.
How does this role impact the organization?
This role impacts the organization by developing consistent, reliable, maintainable, and performance-focused code for the Equity Advisors' data needs, aligning with the Asset Management Technology organization’s goals.