AI-Driven Data Engineering Leader

BrightClaim; New York (NY); Hybrid; USD 210,000 - 300,000; Full time

Job summary

Genpact is seeking an Engineering Leader - Software Development Engineering in the United States. You will lead a team of data engineers, design and maintain scalable data pipelines and infrastructure, and set best practices for data governance and quality.

Collaborate with cross-functional teams to deliver data solutions, stay ahead of emerging technologies, and mentor team members to grow professionally. The role demands strong leadership, deep data engineering expertise, and a track record of

Qualifications

• Bachelor’s degree in CS/CE/IT or related field.
• Master’s degree in Software Engineering preferred.
• Experience leading data engineering teams and building scalable pipelines.

Responsibilities

• Lead and manage a team of data engineers.
• Design, build, and maintain scalable data pipelines and infrastructure.
• Implement best practices for data management, governance, and quality assurance.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Stay abreast of emerging technologies and trends in data engineering to drive innovation and efficiency.
• Provide technical guidance and mentorship to team members to foster professional growth and development.

Skills

Data leadership

Data pipelines

Data governance

SDLC

APIs testing

Agile

Jira

Postman

Security practices

Mentorship

Education

B.S. in Computer Engineering / CS / IT

M.S. in Software Engineering

AZ-204 Azure Developer Associate

Microsoft Power Platform App Maker

Oracle Java SE 8 Programmer I

Job description

Genpact is seeking an Engineering Leader - Software Development Engineering in the United States. You will lead a team of data engineers, design and maintain scalable data pipelines and infrastructure, and set best practices for data governance and quality.

Collaborate with cross-functional teams to deliver data solutions, stay ahead of emerging technologies, and mentor team members to grow professionally. The role demands strong leadership, deep data engineering expertise, and a track record of