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Data Engineer

GHR2,732 open roles

Where
Hyderabad
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Your applicationOpen nowData EngineerGHR · Hyderabad
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. GHR postings stay open a median of 15 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted today

GHR median: 15 days open

The posting

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description: This job is responsible for supporting and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include collaborating on code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, researching, and troubleshooting data problems within one or more system engineering domains.

Responsibilities:

  • Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
  • Leverages architecture components in solution development and collaborates with team members to code solutions to integrate, clean, transform, and control data in operational and analytical data systems per the defined acceptance criteria
  • Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines to enable data-informed decision making
  • Participates in the development and execution of test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and supports triage of underlying causes
  • Contributes to information technology projects to ensure on-time delivery and adheres to team delivery and release processes
  • Assists team members with identifying, defining, and documenting data engineering requirements and communicates required information for deployment, maintenance, support, and business functionality
  • Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps to identify and communicate solutions to data problems

Skills:

  • Analytical Thinking
  • Application Development
  • Data Management
  • DevOps Practices
  • Solution Design
  • Agile Practices
  • Collaboration
  • Decision Making
  • Risk Management
  • Test Engineering
  • Architecture
  • Business Acumen
  • Data Quality Management
  • Financial Management
  • Solution Delivery Process
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