• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th Jan 2024

Candidates must have Data Stage experience. Additional skills desired include DB2 experience. Snowflake and DBT are a bonus.

The data engineer designs and builds platforms tools and solutions that help the bank manage secure and generate value from its data. The person in this role creates scalable and reusable solutions for gathering collecting storing processing and serving data on both small and very large i.e. Big Data scales. These solutions can include on-premise and cloud-based data platforms and solutions in any of the following domains ETL business intelligence analytics persistence relational NoSQL data lakes search messaging data warehousing stream processing and machine learning.
Responsible and accountable for risk by openly exchanging ideas and opinions elevating concerns and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite achieves results by consistently identifying assessing managing monitoring and reporting risks of all types.

MINIMUM KNOWLEDGE SKILLS AND ABILITIES REQUIRED:

Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
Must be able to communicate ideas both verbally and in writing to management business and IT sponsors and technical resources in language that is appropriate for each group.
Fundamental understanding of distributed computing principles
Knowledge of application and data security concepts best practices and common vulnerabilities.
Conceptual understanding of one or more of the following disciplines preferred big data technologies and distributions metadata management products commercial ETL tools Bi and reporting tools messaging systems data warehousing Java language and run time environment major version control systems continuous integration/delivery tools infrastructure automation and virtualization tools major cloud or rest API design and development.