Managed Services - Senior Data Engineer - Manager

Responsibilities

• Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
• Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
• Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
• Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
• Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
• Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
• Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
• Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
• Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
• Promoting continuous process improvement in data analytics
• Leading teams in data-driven decision-making processes

Requirements

• At least a Bachelor's degree
• At least 4 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 proficiency in Business Intelligence and Reporting Tools (BIRT)
• Utilizing Python and Java for data engineering tasks
• Excelling in data visualization with QlikView and Spotfire
• Developing data architecture and pipeline strategies
• Embracing continuous process improvement in data analytics
• Leading teams in data-driven decision-making processes

Qualifications

• 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

Skills

• Proficiency in Business Intelligence and Reporting Tools (BIRT)
• Utilizing Python and Java for data engineering tasks
• Data visualization with QlikView and Spotfire
• Data architecture and pipeline strategies
• Continuous process improvement in data analytics
• Data-driven decision-making processes

Benefits

• The salary range for this position is: $99,000 - $232,000.
• Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
• All hired individuals are eligible for an annual discretionary bonus.
• PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

Pay

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Schedule

Time Type: Full time

Travel Requirements

Up to 60%