01Overview
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.
Certification(s) Preferred
Microsoft Certified:
Azure Data Engineer Associate
Microsoft Certified:
Power BI Data Analyst Associate
Preferred Knowledge/Skills
Senior Associate Microsoft FabricDsigns and develops scalable data solutions in Microsoft Fabric. Works independently on modules and contributes to architecture discussions.Design and implement end-to-end data pipelines in FabricBuild and optimize Lakehouse architecturesDevelop advanced Power BI semantic models and reportsWrite and optimize complex SQL and PySpark transformationsIntegrate data from multiple sources (APIs, databases, streaming)Ensure data quality, governance, and security complianceCollaborate with business stakeholders for requirementsMentor junior team membersMandatory SkillsMicrosoft Fabric (Data Factory, Lakehouse, Warehouse)Power BI (DAX, modeling, performance tuning)SQL (advanced)
Good Knowledge Of
PySpark / SparkData modeling (star/snowflake schema)Azure services (ADLS, Synapse, etc.)Understanding of CI/CD and DevOps practices
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.As part of the Data Engineering team you will design, build, and maintain productive data pipelines using PySpark and SQL. As a Senior Associate you will leverage your technical strengths to analyze complex concepts, guide and mentor others, and maintain professional standards while delivering top-quality data solutions. This position provides an exciting opportunity to work in Microsoft Azure environments and collaborate with stakeholders to support business intelligence and advanced analytics initiatives.
Responsibilities
Design, build, and maintain streamlined data pipelines using PySpark and SQLAnalyze complex concepts and deliver rigorous data solutionsGuide and mentor team members in technical skillsCollaborate with stakeholders to support business intelligence initiativesUphold professional standards in engineering practicesLeverage Microsoft Azure environments for data processingIdentify opportunities for process improvements in data workflowsSecure communication across cross-functional teams
What You Must Have
Bachelor's Degree4 years of experience in data engineeringOral and written proficiency in English required
What Sets You Apart
Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or related fieldMicrosoft Certified: Azure Data Engineer AssociateMicrosoft Certified: Power BI Data Analyst AssociateDeveloping reports and dashboards using Power BIUnderstanding DevOps practices in data projectsFamiliarity with Delta Lake or Lakehouse architectureExperience with Data Modeling and ETL orchestrationExcelling in problem-solving and teamwork .
