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
- Demonstrating 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
- Experience with AWS data engineering and Redshift
- Experience with DataStage, ETL, SQL Server, DB2, QlikView, Oracle BI, and other business intelligence tools
- Experience with systems thinking and workload orchestration
- Experience leading teams through complex and ambiguous situations
Benefits
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Pay
The salary range for this position is: $124,000 - $280,000.
Schedule
This position offers a full-time schedule.
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
- Workload orchestration and scheduling
Benefits
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance