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
- 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.
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
Full time
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
Company Description
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.
How We Work
To view how we work, please visit the following link: https://pwc.to/how-we-work
Application Deadlines
Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines