Managed Services - Senior Data Engineer - Senior Manager

Responsibilities

• Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
• Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
• Building and maintaining data pipelines and architectures to support business intelligence efforts – (DataStage, ETL)
• Implementing data visualization tools to provide actionable insights and improve client outcomes – (SQL Server, DB2)
• Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
• Coaching and motivating teams to solve complex problems and deliver quality results
• Applying systems thinking to identify and address underlying problems within client projects (workload orchestration and scheduling)
• Validating outcomes with clients and acting on feedback to refine solutions – (CSAT and performance tuning)
• Directing teams through ambiguous and challenging situations with composure and sound judgment

Requirements

• At least a Bachelor's degree
• At least 6 years of experience
• Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
• Advanced skills in data architecture development and data pipeline management
• Utilizing Python and Java for complex data analysis and visualization
• Excelling in business intelligence tools like QlikView and Oracle BI
• Leading strategic questioning and stakeholder engagement initiatives
• Applying systems thinking to identify and address underlying problems
• Directing teams through complex and ambiguous situations

Qualifications

• Preference for advanced degrees in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering

Skills

• Data architecture development and data pipeline management
• Advanced analytics techniques (AWS data engineering and Redshift)
• Data visualization tools (SQL Server, DB2)
• Business intelligence tools (QlikView, Oracle BI)
• Systems thinking
• Leadership and team management

Benefits

• Salary range: $124,000 - $280,000
• Discretionary bonus
• Medical, dental, vision insurance
• 401(k) plan
• Holiday pay
• Vacation
• Personal and family sick leave
• Additional benefits available at https://pwc.to/benefits-at-a-glance

Pay

• $124,000 - $280,000

Schedule

• Full time

Travel Requirements

• Up to 60%