Senior Data Engineer – Senior Manager

Responsibilities

• Leveraging data and analytics to provide strategic insights and drive informed decision-making for clients
• Developing and implementing 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 (Data Stage, 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 underlying problems and opportunities 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

• 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 Qlik View 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