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Data ScienceOnsite

Senior Data Engineer - Advisory

PricewaterhouseCoopers - Company

Noida, Ghaziabad, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Senior (4-7 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Noida, Ghaziabad
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

PricewaterhouseCoopers is hiring a Senior Data Engineer for its Data and Analytics Advisory practice in Noida, Ghaziabad. This Senior-level, Full-time, Onsite position focuses on leveraging advanced analytics techniques to extract insights from complex datasets and drive informed business decisions for clients across industries.

Job details

This is a Full-time, Onsite role based in Noida, Ghaziabad, India. The Senior Data Engineer will work within PwC's Advisory line of service, specializing in Data, Analytics & AI. Salary details are available in the employer description. You will utilize cutting-edge data engineering practices to help clients optimize operations and achieve strategic goals through data-driven solutions.

Responsibilities

  • Design and build scalable data pipelines and ETL processes for client projects
  • Leverage advanced analytics techniques to extract actionable insights from data
  • Collaborate with cross-functional teams to deliver data-driven advisory solutions
  • Optimize data infrastructure and workflows to support client strategic goals
  • Implement best practices in data governance, quality, and security

Requirements

  • 4-7 years of experience in data engineering or analytics roles
  • Strong proficiency in Python, SQL, and data pipeline frameworks
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of big data technologies and data warehousing concepts
  • Excellent problem-solving and client communication skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Benefits

  • Work with a global Big Four consulting firm
  • Exposure to diverse industries and complex data challenges
  • Professional development and training opportunities
  • Collaborative and innovative work environment

Keywords

Data EngineeringAnalyticsETLPythonSQLBig DataCloud PlatformsData PipelinesBusiness IntelligencePwC