Truist is looking to design, develop, and maintain Finance data integration solutions to ensure the delivery of scalable, efficient, and high-quality data pipelines.
Requirements
Proficiency in ETL tools (e.g., Informatica, Ab Initio Talend, SSIS, DataStage).
Strong SQL skills and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL)
Knowledge of software development lifecycles and CI/CD practices (GitLab/GitHub)
Knowledge in getting data Hive/Hadoop data sources
Hands-on-experience in data integration, ETL frameworks, and enterprise data warehousing
Experience with cloud technologies, such as AWS, Azure, or GCP
Solid knowledge of relational database design and development (SQL, stored procedures, data modeling)
Responsibilities
Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area.
Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing.
Build non-functional monitoring capabilities and provide escalated support for highly complex applications in production.
Build in and maintain security controls and monitoring in support of company standards.
Typically lead moderately complex projects and participate in larger, more complex initiatives.
Solve complex technical and operational problems.
In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work.
Other
English (Required)
Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position
The work schedule requires employees to be on-site four days per week, one day remote.
Ability to provide direction and mentor less experienced teammates.
Ability to interpret and convey complex, difficult, or sensitive information
