Responsibilities

Develop and deploy data driven solutions aimed at enhancing business performance and competitive edge, covering data engineering and ETL processes.
Apply advanced analytics techniques to uncover strategic insights and support data informed decision making for clients, including SQL optimization.
Build and maintain data pipelines to enable efficient data collection and analysis, leveraging DataStage.
Use business intelligence tools such as Oracle Business Intelligence and QlikView to deliver comprehensive reports and dashboards, incorporating DB2 and SQL Server data sources.
Collaborate with team members to gather and analyze data from multiple sources to identify patterns and trends, utilizing star schemas and dimensional modeling.
Apply data architecture development skills to design and sustain robust database management systems, including snowflake style models.
Participate in ongoing process improvement to elevate data quality and integrity.
Support client engagement by actively listening and addressing diverse perspectives and needs within regulated environments.
Contribute to the development of business cases and market development strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including experience with job scheduling and UNIX.

Requirements

Bachelor's degree required
Minimum 1 year of experience

Technologies

DataStage
Oracle BI
QlikView
SQL Server
DB2
SQL
Spotfire
Python
Java
UNIX
Snowflake

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

The Opportunity

As a Managed Services Data Engineer at the Experienced Associate level, you will leverage data and analytics to deliver strategic insights and support informed client decisions. Within PwC's Data and Analytics practice, you will design and implement innovative solutions to optimize performance and strengthen competitive advantage. The role emphasizes learning, client engagement, and delivering high-quality work while building your skills and knowledge over time. You will operate in a dynamic environment that values ownership and a proactive approach to development and collaboration.

What Sets You Apart

Preference for study in one of several fields including Computer and Information Science, Economics, Statistics, Engineering, or related programs.
Proficiency in Python and Java programming.
Experience with data visualization tools such as QlikView and Spotfire.
Background in developing business intelligence solutions using Oracle BI.
Experience in data architecture development and management.
Ability to apply macroeconomic and microeconomic analysis techniques.
Strong data analysis and interpretation capabilities.

Managed Services - Data Engineer - Experienced Associate