Senior Oracle Data Engineer & Tech Lead (IC)

Careerwebsite

Addison (TX)

On-site

USD 107,000 - 174,000

Full time

6 days ago
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Job summary

Bank of America is seeking a senior data engineering lead to guide a team building Oracle/Vertica based data pipelines and analytics platforms. You will oversee design, implementation, and maintenance of complex database solutions, ensure data quality, and collaborate with product owners and offshore teams to deliver value.

The role emphasizes hands-on SQL/PLSQL, Unix shell scripting, and Autosys scheduling, with a focus on performance, data integrity and compliance in a large enterprise

Qualifications

  • Bachelors Degree in Engineering, Science, IT, Computer Science or related field.
  • 8+ years of job related experience.
  • Experience with Oracle SQL/PLSQL development.
  • Experience with Oracle data integration pipelines and Unix shell scripting.
  • Experience automating Oracle processes using job schedulers (Autosys preferred).
  • Strong knowledge of Agile delivery and story sizing.

Responsibilities

  • Designs, develops and is accountable for feature delivery.
  • Applies enterprise standards for solution design and quality.
  • Guides the team on work breakdown and execution.
  • Collaborates with Product Owner to ensure healthy backlog and clear acceptance criteria.
  • Mentors team members and promotes engineering best practices.
  • Document end-to-end processes and create training materials.

Skills

Oracle
PL/SQL
Unix shell scripting
Autosys
SQL
Python
Data modeling
Agile
Leadership

Education

Bachelor's degree

Tools

Autosys
Informatica
JIRA

Job description

Bank of America is seeking a senior data engineering lead to guide a team building Oracle/Vertica based data pipelines and analytics platforms. You will oversee design, implementation, and maintenance of complex database solutions, ensure data quality, and collaborate with product owners and offshore teams to deliver value.

The role emphasizes hands-on SQL/PLSQL, Unix shell scripting, and Autosys scheduling, with a focus on performance, data integrity and compliance in a large enterprise

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