Job Summary

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

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 productive data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities





- Must have: Candidates with minimum 3 years of relevant experience for 4-8 years of total experience.
- Deep expertise with technologies such as Data Bricks (Advanced), Datafactory, Azure Fabric, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services.
- Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level).
- Strong troubleshooting and debugging skills.
- Proven experience in working source control technologies (such as GitHub, Azure DevOps), build and release pipelines.
- Experience in writing complex PySpark queries to perform data analysis.

Mandatory Skill Sets

- Azure Databricks
- Pyspark
- Datafactory
- Azure Fabric

Preferred Skill Sets

- Python
- Azure Devops

Years of experience

- 4-8yrs

Education qualification

- B.Tech / M.Tech / M.E / MCA / B.E

Education

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

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📌 Senior Associate (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru