Data Engineer I - Wholesale Credit Delivery

Truist Bank
  • Charlotte, North Carolina
    4 days ago

    Job Description

    The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

    Need Help?

    If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to

    careers@truist.com?subject=Accommodation%20request

    (accommodation requests only; other inquiries won't receive a response).

    Regular or Temporary:

    Regular

    Language Fluency:  English (Required)

    Work Shift:

    1st shift (United States of America)

    Please review the following job description:

    The Data Engineer 1 is responsible for sourcing, analyzing, documenting and maintaining data assets related to assigned portfolio and operational processes. Ensure processes deliver data that are accurate, complete, current, understandable and accessible. This entry level role will work towards gaining expertise and knowledge across multiple lines of business.

    ESSENTIAL DUTIES AND RESPONSIBILITIES

    Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 
    1. Support development and maintenance of data sources for projects, information needs and business requirements.
    2. Build understanding of critical application systems and ability to transform data assets to aid in consumption by Business Information developers, decision & data scientists across the bank.
    3. Learn the full array of data tools including static, SQL, R, Python, SAS to organize and format data assets by defining requirements and implementing automated repeatable solutions.
    4. Deliver assigned ad hoc data pulls and analysis. Partner with more senior data engineers for guidance and mentoring.
    5. Support solutions and recommendations for improving data integrity issues. Conduct research to determine the course of action to correct the data, identify, analyze and interpret trends and patterns in datasets.
    6. Follow appropriate security, compliance, privacy considerations and follow data management guidance. 
    7. Foster communication and partnership across core team and junior-level managers.
    QUALIFICATIONS

    Required Qualifications:

    The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of key application systems, and have good written and oral communications skills.  Specific requirements are listed below. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
    1. Bachelor's degree and 5+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
    2. Some experience with data engineering and ability to manage small data volumes.
    3. Familiarity with data extraction in a variety of environments (e.g., SQL, SAS, etc.).
    4. Experience in managing assigned projects with tight deadlines in a collaborative environment.
    5. Grow to a high level of competency in statistical and analytical principles, tools, and techniques.
    Preferred Qualifications:


    1. Master's degree in field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
    2. 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science or Engineering  
    3. Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies

    4. 5+ years of experience in data analytics, reporting, business intelligence, data engineering, portfolio analytics, or related roles.

    5. Advanced experience with Python, SQL, business intelligence, and visualization tools.  

    6. Experience supporting credit, portfolio management, risk, banking, or financial services functions.  

    7. Experience developing executive dashboards, management reporting frameworks, and automated reporting environments.  

    8. Knowledge of data governance, regulatory reporting, and data quality controls.  

    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.

    EEO is the Law    E-VerifyIER Right to Work

    Numbers & Facts

    LocationCharlotte, North Carolina
    Websitebenefits.truist.com

    Skills

    • Accidental Death and Dismemberment (AD&D)unmatched
    • Banking Servicesunmatched
    • Business Intelligenceunmatched
    • Business Intelligence Softwareunmatched
    • Business Skillsunmatched
    • Compensation and Benefitsunmatched
    • Computer Engineeringunmatched
    • Computer Scienceunmatched
    • Data Analysisunmatched
    • Data Formatsunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Disability Insuranceunmatched
    • Documentationunmatched
    • English Languageunmatched
    • Financeunmatched
    • Financial Servicesunmatched
    • Investment Managementunmatched
    • Life Insuranceunmatched
    • Management Reportingunmatched
    • Mathematicsunmatched
    • Operations Processesunmatched
    • Portfolio Analysisunmatched
    • Presentation/Verbal Skillsunmatched
    • Problem Solving Skillsunmatched
    • Project/Program Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quantitative Analysisunmatched
    • R Programming Languageunmatched
    • Regulatory Reportsunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • Research Skillsunmatched
    • Riskunmatched
    • SQL (Structured Query Language)unmatched
    • Statisticsunmatched
    • Team Playerunmatched
    • Time Managementunmatched
    • Trend Analysisunmatched
    • Vision Planunmatched
    • Wholesale Industryunmatched
    • Writing Skillsunmatched

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