Wholesale Payments Data Engineer
Salary undisclosed
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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 (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 2 is responsible for sourcing, analyzing, documenting and maintaining data assets related to Corporate and Institutional Group (CIG) portfolio and operational processes. Ensure processes deliver data that are accurate, complete, current, understandable and accessible. This 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. Lead research, analyze, design, develop and/or maintain data sources in support of projects, information needs and business requirements. Perform analysis, validation and interpretation of outputs. Take ownership of issues through resolution, including close coordination between line of business (LOB) partners and Data Engineers.
2. Have an 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. 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.
4. Prioritize and manage ad hoc data pulls, analysis and reporting efforts to LOB partners and management.
5. 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.
6. Manage appropriate security, compliance, privacy considerations and follow data management guidance.
7. Foster communication and partnership across multiple levels of the organization including engagement with line of business contributors and junior-level managers.
QUALIFICATIONS
Required Qualifications:
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. Demonstrated knowledge and skill in data warehousing and transactional application data concepts and technology.
3. Proven experience with data engineering and ability to manage large data volumes.
4. Candidate should 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 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
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 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.
EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (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 2 is responsible for sourcing, analyzing, documenting and maintaining data assets related to Corporate and Institutional Group (CIG) portfolio and operational processes. Ensure processes deliver data that are accurate, complete, current, understandable and accessible. This 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. Lead research, analyze, design, develop and/or maintain data sources in support of projects, information needs and business requirements. Perform analysis, validation and interpretation of outputs. Take ownership of issues through resolution, including close coordination between line of business (LOB) partners and Data Engineers.
2. Have an 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. 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.
4. Prioritize and manage ad hoc data pulls, analysis and reporting efforts to LOB partners and management.
5. 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.
6. Manage appropriate security, compliance, privacy considerations and follow data management guidance.
7. Foster communication and partnership across multiple levels of the organization including engagement with line of business contributors and junior-level managers.
QUALIFICATIONS
Required Qualifications:
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. Demonstrated knowledge and skill in data warehousing and transactional application data concepts and technology.
3. Proven experience with data engineering and ability to manage large data volumes.
4. Candidate should 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 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
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 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.
EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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