Senior Big Data Engineer & DevOps Lead

ACCsurance, LLC

United States

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

A technology solutions company in the United States is seeking an experienced lead developer to guide technical teams in application development using modern tools and agile methods. The candidate must have a master's degree and extensive experience (7-10 years) in software development, especially with a focus on Continuous Integration and Agile methodologies. Responsibilities include mentoring staff, overseeing deployments, and ensuring adherence to design standards. Knowledge of big data tools and programming languages is essential.

Qualifications

  • 7-10 years of related experience in software development.
  • Highly experienced with Agile practices/methodologies.
  • Specialized training in specific platforms, enterprise or development tools.

Responsibilities

  • Lead development teams in determining unit needs and business processes.
  • Mentor or provide technical guidance to less experienced staff.
  • Develop, modify, or update applications for business and infrastructure.

Skills

Continuous integration tools expertise
Analytic skills for unstructured datasets
Experience in agile practices
Expert proficiency in Object Oriented Design
Expert proficiency in application of non-functional software qualities
Expert proficiency in advanced behavior-driven testing techniques

Education

Master or Other Advanced Degree in Business or Computer Science

Tools

Jenkins
VM Ware
Docker
Hadoop
Spark

Job description

A technology solutions company in the United States is seeking an experienced lead developer to guide technical teams in application development using modern tools and agile methods. The candidate must have a master's degree and extensive experience (7-10 years) in software development, especially with a focus on Continuous Integration and Agile methodologies. Responsibilities include mentoring staff, overseeing deployments, and ensuring adherence to design standards. Knowledge of big data tools and programming languages is essential.
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