Industry/Sector
Not ApplicableSpecialism
Cybersecurity & PrivacyManagement Level
AssociateJob Description & Summary
At PwC our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities develop secure systems and provide proactive solutions to safeguard sensitive data.Driven by curiosity you are a reliable contributing member of a our fast-paced environment you are expected to adapt to working with a variety of clients and team members each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm you build a brand for yourself opening doors to more opportunities.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
This role involves developing data solutions conducting quality checks and collaborating with team members to ensure accurate and reliable data delivery. Our Data Governance team focuses on helping our clients implement an effective data governance program that protects against threats propels data-driven transformation and drives growth
Our team helps organizations safeguard critical assets by identifying prioritizing and protecting sensitive or high value business joining youll focus on ensuring the effective and efficient use of information in enabling an organization to achieve its goals.
Minimum years experience required
3 Years - 5 Years
As an Associate you will work as part of a team of problem solvers helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Strong knowledge and experience with at least one major data governance enterprise platform (e.g. Collibra Alation or Informatica)
Extensive knowledge and experience with data analysis and enterprise metadata management especially in the context of Data Lifecycle use cases;
Strong proficiency in SQL and Python.
Use feedback and reflection to develop self-awareness personal strengths and address development areas.
Experience deploying data lineage and data flow inventory solutions;
Demonstrated experience implementing structured data archiving and data lifecycle management activities;
Background in DCAM or related data governance frameworks;
Foundational knowledge of ETL concepts and data flow design.
Strong analytical and problem-solving skills.
Preferred Qualifications:
Bachelors degree in computer science Data Engineering or a related field.
Familiarity with tools such as Informatica Alation or Collibra .
Relevant DG certifications like DAMA CDMP . Collibra Ranger
Relevant work experience of 3 to 5 years
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
IC
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