IN_Senior Associate_Senior Data Engineer (Snowflake)_Data and Analytics_Advisory_Gurgaon Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate &

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. *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 workplace 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.

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Summary: We are seeking a skilled Data Engineer to build and manage scalable data pipelines integrating Salesforce and multiple source systems into Snowflake , and enable high-quality, AI-ready data delivery back to downstream applications including Salesforce.

Why Join

Us? Work on a high-impact data transformation and AI readiness program Exposure to modern data stack (Snowflake + Salesforce ecosystem) Opportunity to shape enterprise-wide data integration architecture Responsibilities: Data Integration: Design and develop robust pipelines to integrate source systems into Snowflake.

Pipeline Development: Build scalable ELT pipelines using Snowflake, SQL, and tools like ADF/DBT/Informatica.

Data Movement: Enable bi-directional data flow between Snowflake and Salesforce.

Performance Optimization: Optimize pipelines and Snowflake workloads for performance, cost, and scalability .

Data Quality: Implement validation, monitoring, and error-handling mechanisms to ensure data reliability .

Collaboration:



Work closely with Data Modelers and Business Analysts to support AI/ML use cases and analytics .

Automation: Implement CI/CD pipelines and workflow orchestration for data processes.

Mandatory skill sets: Technical Skills &

Qualifications Strong experience with Snowflake, SQL, and data pipeline development Hands-on experience with ETL/ELT tools Preferred skill sets: Knowledge of cloud platforms (Azure/AWS) Proficiency in Python Experience handling multi-source data integration and large datasets Years of experience required: 7+ Years Education qualification: BE, B.Tech , ME, M,Tech , MBA, MCA (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship?

Government Clearance

Required?

Job Posting End Date

January 21, 2026 Experience Level Senior Level

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