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AdvisoryIndustry/Sector
Not ApplicableSpecialism
Advisory - OtherManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
Lead the design and architecture of data integration solutions using Informatica IDMC.
- Collaborate with business analysts data architects and stakeholders to gather and analyze data requirements and translate them into effective technical solutions.
- Provide technical leadership and guidance to the development team ensuring adherence to best practices and industry standards.
- Oversee the optimization and troubleshooting of data integration processes to enhance performance reliability and data quality.
- Develop comprehensive documentation for data integration architectures processes and workflows.
- Monitor and manage data integration operations addressing issues and ensuring successful execution of data jobs.
- Implement and enforce data governance and compliance standards across all integration processes.
- Conduct code reviews and ensure solutions are scalable maintainable and aligned with technological advancements.
- Collaborate with cross-functional teams to facilitate the integration of data from diverse sources into cloud-based environments such as data warehouses or data lakes.
- Stay abreast of emerging trends and technologies in cloud data integration and recommend strategic improvements.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Big Data C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data-Driven Decision Making (DIDM) Data Engineering Data Lake Data Mining Data Modeling Data Pipeline Data Quality Data Science Data Science Algorithms Data Science Troubleshooting Data Science Workflows Deep Learning Embracing Change Emotional Regulation 22 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Full-Time