Job 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.

Responsibilities

- Candidates with minimum 3 years of relevant experience for 4-8 years of total experience.
- Deep expertise with technologies such as Data factory, Data Bricks (Advanced), 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 Qualified (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:

- Azure Databricks, Pyspark, Datafactory, Python, Azure Devops

Years of experience

4-8 years

Education

- Education qualification: B.Tech / M.Tech / M.E / MCA / B.E
- Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

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