Description

Design and implement large-scale data solutions using cloud infrastructure and processing frameworks. Lead cross-functional teams to deliver projects on time while monitoring technical milestones and reporting progress. Analyze business processes and regulatory requirements to inform data architecture decisions. Develop and deliver training programs for internal teams to ensure best practices in data integrity and system efficiency.

Responsibilities

• Lead cross-functional teams to deliver data projects on time and within budget.
• Monitor and report on project progress and technical milestones.
• Analyze business processes and regulatory requirements to inform data architecture.
• Develop and deliver training programs for internal teams.

Required Skills

• 4+ years of experience in data engineering or related roles.
• Proficiency in Python and PySpark for large-scale data processing.
• Strong experience with SQL and Unix environments.
• Hands-on experience with AWS cloud services.
• Proven background in data analysis and business intelligence.
• Bachelor's degree in a related field or any graduate degree.

Preferred Skills

• Ability to work independently and within a team structure.
• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Graduate