Senior Associate

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

• Must have: 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 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
• Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.