Senior Snowflake Data Engineer

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

PwC in Bangalore is seeking a seasoned Data Engineer to design scalable data pipelines for batch and near real-time workloads in cloud environments. You will implement optimized SQL, and develop Python and PySpark scripts for large-scale data processing.

You will build and maintain data models in Databricks, ensuring data quality and governance across Azure and AWS cloud data warehouses, while collaborating with cross-functional teams.

Qualifications

• 5+ years of hands-on experience in Data Engineering.
• Proficiency in SQL, Python, and PySpark for data manipulation and analysis.
• Experience with cloud-based data warehousing (Azure / AWS).
• Data modeling techniques for cloud-based systems (Databricks, Snowflake).
• Experience with ETL/ELT processes in cloud architectures.
• Knowledge of dimensional modeling, star schemas, data marts.
• Strong analytical thinking and problem-solving skills.

Responsibilities

• Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments
• Write optimized SQL queries for data transformation and analysis in cloud data warehouses
• Develop Python and PySpark scripts for large-scale data processing and ETL workflows
• Create and maintain data models in Databricks, ensuring data quality and consistency
• Optimize queries and scripts over large-scale datasets (TBs) with focus on performance and cost-efficiency
• Implement data governance and security best practices in cloud environments
• Collaborate across teams to translate business requirements into robust technical solutions

Skills

SQL

Python

PySpark

Data warehousing

Databricks

Snowflake

ETL/ELT

Education

BE / B.Tech / ME / M.Tech / MBA / MCA (60%+)

Tools

Databricks

Snowflake

Azure

AWS

Apache Airflow

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PwC

At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .

At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

• Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments
• Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses
• Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows
• Create and maintain data models in Databricks , ensuring data quality and consistency
• Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency
• Implement data governance and security best practices in cloud environments
• Collaborate across teams to translate business requirements into robust technical solutions

Mandatory skill sets

• Must have knowledge, skills and experiences 5+ years of hands-on experience in Data Engineering
• Strong command over SQL , Python , and PySpark for data manipulation and analysis
• Deep experience with data warehousing concepts and implementation in cloud environments ( Azure / AWS )
• Proficiency in data modeling techniques for cloud-based systems ( Databricks , Snowflake )
• Solid understanding of ETL/ELT processes and best practices in cloud architectures
• Experience with dimensional modeling, star schemas, and data mart design
• Strong analytical thinking and problem-solving skills

Preferred skill sets

• Good to have knowledge, skills and experiences Familiarity with data lake architectures and delta lake concepts
• Familiarity with Snowflake /Databricks Data Warehouse
• Knowledge of data warehouse migration strategies to cloud
• Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)
• Exposure to data quality and data governance tools and methodologies
• Understanding of data virtualization and federated query engines
• Understanding of performance optimization techniques for cloud-based data warehouses
• Apache Airflow – Workflow orchestration and scheduling
• Certifications in Azure or AWS or Databricks

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above )

Degrees / Field of Study

Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering

Optional Skills

• AWS Database Migration Service (DMS), Database Modeling, Snowflake Data Warehouse
• Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement, Data Analytics {+ 31 more}

Desired Languages

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship? Government Clearance Required?

Job posting end date

July 25, 2026

Experience Level

Mid Level

Location

Bangalore