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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

·        Build, optimize, and maintain the data pipelines and aide in building the data ecosystem for delivering enterprise data for wide consumption including developing data models, corresponding data architecture documents and API’s.

·        Build, manage, and implement the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture, Dashboard/Report Development and all phases of the ETL (extract, transform, and load) processes.

·        Drive efforts related to partially to completely automate repeatable data preparation, integration tasks.

·        Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.

·        Analyze 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.

·        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.

Requirements

·     Must have Bachelor's degree in Computer Science, Systems Engineering or related technical field

·     Must have 5 years of progressive experience in software engineering or development positions performing/utilizing the following:

• Applying data warehousing and transactional application data concepts and technology

• Performing data engineering and managing large data volumes

• Applying understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies

• Planning and managing IT projects

• Utilizing experience with: SQL, SQL Plus; ETL architecture and concepts; Data integration concepts; Informatica; Big data concepts; Mainframe systems; Rally or similar project management tool; Technical design concepts; Requirements concepts; File transfer; Iterative; Ab Initio; SDLC/technical artifacts; and Shell Scripting.

·     Position may be eligible to work in a hybrid remote model and is based out of and reports to Truist offices in Charlotte, NC.  Applicants must be able to work onsite at Truist offices in Charlotte, NC at least 3 days per week.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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