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 the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)

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

• Business Intelligence and Reporting Tools (BIRT)
• 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.

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

As 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.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.