Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Senior Associate

& 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.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .


At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:

Utilizing expertise in Power Apps, Power Pages, Power Automate, and Power Virtual Agent development. Designing and creating custom business apps, such as Canvas Apps, SharePoint Form Apps, Model Driven Apps, and Portals/Power Pages Portal. Implementing various Power Automate Flows, including Automated, Instant, Business Process Flow, and UI Flows. Collaborating with backend teams to integrate Power Platform solutions with SQL Server and SPO. Demonstrating strong knowledge of Dataverse, including security and permission levels. Developing and utilizing custom connectors in Power Platform solutions. Creating and consuming functions/API's to retrieve/update data from the database. Managing managed solutions to ensure seamless deployment and version control. Experience in Azure DevOps CI/CD deployment Pipelines. Monitoring and troubleshooting any performance bottlenecks. Having any coding/programming experience is a plus. Excellent communication skills.
Requirements:


6-9 years of relevant experience. Strong hands-on work experience with Power Pages and Model Driven Apps with Dataverse. Experience in Azure DevOps CI/CD deployment Pipelines.
Good communication skills.

Mandatory skill sets:

Strong hands-on work experience with Power Pages and Model Driven Apps with Dataverse.

Preferred skill sets:

Experience in Azure DevOps CI/CD deployment Pipelines.

Years of experience required:

5 years to 9 years

Education qualification:

Bachelor's degree in Computer Science, Engineering, or a related field.

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Microsoft Power Apps

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date