Databricks with AI

PwC; India; On-site; INR 700,000 - 1,100,000; Full time

Job summary

PwC in India seeks a data engineer to support and refine data pipelines, integrate data flows, and transform raw data into usable formats for analytics. You will develop Databricks and cloud-based solutions, assist in data modeling and validation, and write automation code to streamline data processing.

Strong English communication and at least a Bachelor's degree are required. The role emphasizes collaboration with technical and business stakeholders, adherence to standards, and continuous

Qualifications

• Bachelor's degree required
• Minimum 2 years of experience
• Proficiency in English (written and spoken) required

Responsibilities

• Support data engineering projects by building and refining data pipelines, integration flows, and transformation logic
• Develop Databricks and cloud-based data solutions for reporting and analysis
• Assist in data modeling, validation, and quality checks across data warehouse and data lake environments
• Write and maintain code for automation, orchestration, and repeatable data processing tasks
• Apply SQL, Python, and platform tooling to troubleshoot data issues and improve pipeline performance
• Collaborate on AI-enabled data workflows and digital tooling to improve delivery speed and data usability
• Gather input from technical and business stakeholders and translate into working solutions
• Document technical processes, standards, and solution details for delivery consistency and maintenance

Skills

Data pipeline design

SQL

Python

Stakeholder communication

Agile practices

Education

Bachelor's degree

Tools

Databricks

AWS/Azure/Snowflake

ETL/ELT tooling

Data modeling tools

Job description

Responsibilities

• Supporting data engineering projects by building and refining data pipelines, integration flows, and transformation logic
• Developing Databricks and cloud-based data solutions that move raw data into usable formats for reporting and analysis
• Assisting in data modeling, validation, and quality checks across data warehouse and data lake environments
• Writing and maintaining code for automation, orchestration, and repeatable data processing tasks
• Applying SQL, Python, and platform-specific tooling to troubleshoot data issues and improve pipeline performance
• Collaborating on AI-enabled data workflows and digital tooling to improve delivery speed and data usability
• Gathering input from technical and business stakeholders to clarify requirements and translate them into working solutions
• Documenting technical processes, standards, and solution details to support delivery consistency and future maintenance

What You Must Have

• At least a Bachelor's degree
• At least 2 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating coursework or project experience using Databricks and AI tools
• Applying data engineering concepts across pipelines, modeling, and validation tasks
• Utilizing cloud platforms such as AWS, Azure, or Snowflake
• Learning Agile practices while adapting to changing client needs
• Communicating clearly, listening actively, and asking thoughtful questions