Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Associate

Job 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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.Use critical thinking to break down complex concepts.Understand the broader objectives of your project or role and how your work fits into the overall strategy.Develop a deeper understanding of the business context and how it is changing.Use reflection to develop self awareness, enhance strengths and address development areas.Interpret data to inform insights and recommendations.Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Experience: Sr. Associate (5+ Years) Associate (3+ years)

Minimum Degree Required: Bachelor's degree in Engineering

Responsibilities As a Qlik BI Developer for the EDW Migration Project, the candidate will be instrumental in designing, developing, and maintaining Qlik applications. The primary focus will be on extracting data lineage from the multi-layer architecture and ensuring a seamless migration of data sources from Teradata to Google BigQuery.

Required Skills and Qualifications:

· Qlik Development: Design, develop, and maintain QlikView, Qlik Sense, and Qlik NPrinting applications tailored to support the EDW migration project.

· Data Lineage Extraction: Document and maintain comprehensive data lineage across multi-layer architectures, ensuring transparency and traceability of data flow.

· Data Source Migration: Plan and execute the migration of data sources from Teradata to Google BigQuery, ensuring minimal disruption and optimal performance.

· Familiarity with scripting languages (Python, Shell scripting) is a plus.

Preferred Knowledge/Skills

· Experience with cloud data platforms and services, particularly Google Cloud Platform (GCP).

· Familiarity with other BI tools and data visualization platforms.

· Certification in Qlik or Google Cloud Platform (GCP) is a plus.

· Advanced Qlik Expertise: Deep understanding and hands-on experience with QlikView, Qlik Sense, and Qlik NPrinting, including advanced scripting, data modeling, and visualization techniques.

· Data Lineage Tools: Familiarity with data lineage and metadata management tools, ensuring comprehensive tracking and documentation of data flow.

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, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date