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, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll 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 chance 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 SQL
Analyze complex concepts and deliver rigorous data solutions
Guide and mentor team members in technical skills
Collaborate with stakeholders to support business intelligence initiatives
Uphold professional standards in engineering practices
Leverage Microsoft Azure environments for data processing
Identify opportunities for process improvements in data workflows
Secure communication across cross-functional teams
What You Must Have
Bachelor's Degree
4 years of experience in data engineering
Oral and written proficiency in English required
What Sets You Apart
Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or related field
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Power BI Data Analyst Associate
Developing reports and dashboards using Power BI
Understanding DevOps practices in data projects
Famili
📌 Fabric+Pyspark+SQL - Senior Associate (India)
🏢 PwC Acceleration Center India
📍 India
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