Truist is looking to build, optimize, and maintain data pipelines and aid in building the data ecosystem for delivering enterprise data for wide consumption including developing data models, corresponding data architecture documents and APIs.
Requirements
- In-depth knowledge of SQL, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts
- Previous experience in planning and managing IT projects
Responsibilities
- Builds, manages, and implements the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture and all phases of the ETL (extract, transform, and load) processes.
- Drives efforts related to partially to completely automate repeatable data preparation and integration tasks.
- Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.
- Analyzes information to determine business needs from requests and implement effective technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex, difficult, or sensitive information.
- Takes a new perspective on existing solutions to solve problems of moderate to high complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information.
- Lead small data engineering projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives.
Other
- This is an in-office position and will be required to be located in a hub city (Charlotte, Raleigh, Wilson, Atlanta, or Richmond).
- We are NOT offering relocation.
- Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position.
- Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
- Minimal and up to 10% travel.
