Data Engineer-Assistant Vice President

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities

• Developing and supporting scalable, extensible, and highly available data solutions
• Deliver on critical business priorities while ensuring alignment with the wider architectural vision
• Identify and help address potential risks in the data supply chain
• Follow and contribute to technical standards
• Design and develop analytical data models

Required Qualifications & Work Experience

methodologies

Technical Skills (Must Have)

integration platform Apache Spark

Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

optimization and maintenance of data models and data structures

automated quality control management

data controls

Parquet, Protobuf, Iceberg, Delta

Technical Skills (Valuable)

and microservices

Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

Kubernetes

Certification on any one or more of the above topics would be an advantage

Job Family Group : Technology

Job Family :

Digital Software Engineering

Time Type : Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and / or contact the recruiter.