Managed Services - Senior Data Engineer - Manager

Responsibilities

• Leverage data and analytics to provide strategic insights and drive informed decision-making for clients.
• Develop and implement innovative solutions to optimize business performance and enhance competitive advantage.
• Lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff.
• Confirm project success and maintain standards.
• Motivate, develop, and inspire others to deliver quality.
• Coach, leverage team members' unique strengths, and manage performance to deliver on client expectations.
• Analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
• Lead data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration).
• Develop and implement innovative data solutions using advanced analytics techniques (DataStage).
• Manage and mentor teams to enhance their skills and deliver quality client services (pipeline architecture).
• Utilize business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift).
• Build and maintain data pipelines and architectures to support analytics initiatives (DB2, SQL Server).
• Collaborate with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC).
• Oversee the deployment of scalable data visualization and reporting solutions (performance tuning).
• Promote the adoption of new technologies and methodologies within data and analytics teams (S3, Glue).
• Address and resolve conflicts or issues with clients and team members, escalating when necessary.
• Promote professional and technical standards, including adherence to the firm's code of conduct and independence requirements.

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.

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.
• To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance.

Schedule

• Full time.

Travel Requirements

• Up to 60%.

Pay

• $99,000 - $232,000.

Company

• PwC.

Equal Opportunity Employer

• PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

Los Angeles County Fair Chance Ordinance

• For those impacted by the Los Angeles County Fair Chance Ordinance for Employers, arrest or conviction records will be considered for Employment in accordance with these laws.

San Francisco Fair Chance Ordinance

• For those impacted by the San Francisco Fair Chance Ordinance, arrest or conviction records will be considered for Employment in accordance with these laws.

San Diego County Fair Chance Ordinance

• For those impacted by the San Diego County Fair Chance Ordinance, arrest or conviction records will be considered for Employment in accordance with these laws.

California Fair Chance Act

• For those impacted by the California Fair Chance Act, arrest or conviction records will be considered for Employment in accordance with these laws.

Application Instructions

• Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines.