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Truist Data Engineer in Atlanta, Georgia

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If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (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 3 is responsible for sourcing, analyzing, documenting and maintaining data assets related to Corporate and Institutional Group portfolio and operational processes. Ensure processes deliver data that are accurate, complete, current, understandable and accessible. This role will leverage extensive knowledge across multiple lines of business and data expertise. Responsible for leading projects end to end independently.

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. Lead research, analyze, design, develop and/or maintain data assets in support of projects, information needs and business requirements. Perform analysis, validation and interpretation of outputs.

  2. Take ownership of issues through resolution, including close coordination with line of business (LOB) partners, Enterprise Data Office and Enterprise Information Services.

  3. Have a deep understanding of critical application systems and ability to transform data assets to aid in consumption by BI developers, decision & data scientists across the bank.

  4. Utilize 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.

  5. Conduct business analysis, respond to change; solve highly complex business and data problems

  6. Manage appropriate security, compliance, privacy considerations and follow data management guidance. Train junior team members in coding efficiently and accurately.

  7. Prioritize and manage ad hoc data pulls, in depth analysis and reporting efforts to LOB partners and management.

  8. Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions. Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets.

  9. Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers.

QUALIFICATIONS

Required Qualifications:

The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of key application systems, strategic and creative thinking and excellent 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 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.

  2. Demonstrated knowledge and skill in strategic data assets warehousing and transactional application data concepts and technology.

  3. Proven experience with data engineering and ability to manage large data volumes.

  4. Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies

  5. Strong familiarity with data extraction in a variety of environments (e.g., SQL, SAS, etc.).

  6. Experience in managing multiple projects with tight deadlines in a collaborative environment.

  7. Maintain a high level of competency in 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. 10+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science or Engineering

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 (https://benefits.truist.com/)

. 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 supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals 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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