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Bank of America

Business Intelligence Data Engineer III

Company: Bank of America

Location: Charlotte, NC, United States

Posted on: November 24

Business Intelligence Data Engineer III

Jacksonville, Florida;Charlotte, North Carolina; Addison, Texas

Job Description:

GMO BI Reporting and Analytics is a new function within Global Markets Operations Business Management that is looking for a seasoned Data Engineer to oversee our data orchestration, the practice of acquiring, cleaning, matching, enriching, and making data accessible for our analysts and visualization teams.

Responsibilities:

  • Design, develop, and implement scalable data pipelines that ingest and transform data from various external sources, storing it in highly optimized database systems, and making it useful to our BI Analytics and Data Visualization team members

  • Develop automation systems and adopt tools to configure, monitor, and orchestrate data infrastructure and pipelines

  • Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth

  • Participate in creating and maintaining strict compliance, data privacy and security measures

  • Identify, troubleshoot, and resolve unexpected performance and process fail issues

  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it; and

  • Keep up to date on emerging technology solutions for continuous improvements in data engineering

Required Skills: (Must have these skills to be minimally qualified)

  • 5+ years of experience in data warehousing, data modeling, building data pipelines, and data visualizations

  • Experience orchestrating data using directed acyclic graph (DAG) concepts

  • Experience providing data solutions for reporting and analytics teams

  • Strategic thought and experience with modern data orchestration tools

  • Ability to manage multiple deliverables simultaneously

  • Extreme attention to detail

  • Experience with code management tools such as GIT

  • Advanced SQL knowledgeand experience working with relational databases

Desired Skills:

  • Experience with operational data

  • Familiarity with global markets products and activities

  • Experience building reports and dashboards using tools like Tableau

  • Experience providing reporting and insights to operations teams

Other Qualifications:

  • Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.

  • Excels in working among diverse viewpoints to determine the best path forward.

  • Experience in connecting with a diverse set of clients to understand future business needs is a continuous learner.

  • Commitment to challenging the status quo and promoting positive change.

  • Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.

  • Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.

Enterprise Role Overview:

Responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. Proficient in data engineering practices, and have extensive experience of using design and architectural patterns. Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Utilizes multiple architectural components in design and development of client requirements. Codes complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Assists team with resolving technical complexities involved in realizing story work. Collaborates with development teams to understand data requirements, ensure the data architecture is feasible to implement and subsequently implemented accurately. Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release. Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Leads concept and experimentation testing and synthesizes the results to validate and improve analytical solution. Monitors key performance indicators and internal controls. Mentors more junior Data Engineers and coaches team on CI-CD practices and automating tool stack. Individual contributor.

Job Band:

H5

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

GMO BI Reporting and Analytics is a new function within Global Markets Operations Business Management that is looking for a seasoned Data Engineer to oversee our data orchestration, the practice of acquiring, cleaning, matching, enriching, and making data accessible for our analysts and visualization teams.

Responsibilities:

  • Design, develop, and implement scalable data pipelines that ingest and transform data from various external sources, storing it in highly optimized database systems, and making it useful to our BI Analytics and Data Visualization team members

  • Develop automation systems and adopt tools to configure, monitor, and orchestrate data infrastructure and pipelines

  • Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth

  • Participate in creating and maintaining strict compliance, data privacy and security measures

  • Identify, troubleshoot, and resolve unexpected performance and process fail issues

  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it; and

  • Keep up to date on emerging technology solutions for continuous improvements in data engineering

Required Skills: (Must have these skills to be minimally qualified)

  • 5+ years of experience in data warehousing, data modeling, building data pipelines, and data visualizations

  • Experience orchestrating data using directed acyclic graph (DAG) concepts

  • Experience providing data solutions for reporting and analytics teams

  • Strategic thought and experience with modern data orchestration tools

  • Ability to manage multiple deliverables simultaneously

  • Extreme attention to detail

  • Experience with code management tools such as GIT

  • Advanced SQL knowledgeand experience working with relational databases

Desired Skills:

  • Experience with operational data

  • Familiarity with global markets products and activities

  • Experience building reports and dashboards using tools like Tableau

  • Experience providing reporting and insights to operations teams

Other Qualifications:

  • Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.

  • Excels in working among diverse viewpoints to determine the best path forward.

  • Experience in connecting with a diverse set of clients to understand future business needs is a continuous learner.

  • Commitment to challenging the status quo and promoting positive change.

  • Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.

  • Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.

Enterprise Role Overview:

Responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. Proficient in data engineering practices, and have extensive experience of using design and architectural patterns. Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Utilizes multiple architectural components in design and development of client requirements. Codes complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Assists team with resolving technical complexities involved in realizing story work. Collaborates with development teams to understand data requirements, ensure the data architecture is feasible to implement and subsequently implemented accurately. Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release. Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Leads concept and experimentation testing and synthesizes the results to validate and improve analytical solution. Monitors key performance indicators and internal controls. Mentors more junior Data Engineers and coaches team on CI-CD practices and automating tool stack. Individual contributor.

Shift:

1st shift (United States of America)

Hours Per Week:

40

Learn more about this role

Full time

JR-22098810

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Viviana Renshaw

Referral Bonus:

0

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of Americas Drug-free workplace and alcohol policy, CLICK HERE .

Recommended Skills

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