IN-Senior Associate_ Snowflake Senior Data Engineer_Data and Analytics_Advisory_Bangalore
PwC Bengaluru, Karnataka, India
Professional Services · 10,001+ employees
About the role
You will be responsible for designing, building, and optimizing large-scale data infrastructure and high-performance ETL pipelines. This role involves writing complex SQL queries, developing modular Python scripts for automation, and ensuring the scalability of data solutions.
What they look for
Requirements
Candidates must have 5+ years of experience in Snowflake data engineering and hold a mandatory Snowflake SnowPro Core certification. Strong proficiency in SQL, Python, and data modeling is required to succeed in this role.
Benefits
Full description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & 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 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.
Job Description & Summary:
We are looking for a Snowflake Pro who can design, build, and optimize large-scale data solutions. If you can write lightning-fast SQL, build modular Python scripts, and craft high-performance ETL pipelines, you will feel right at home here.
Responsibilities:
You will work on:
- Developing and optimizing Snowflake solutions for performance and scale
- Writing, tuning, and troubleshooting complex SQL queries and stored procedures
- Creating modular Python scripts (Pandas, NumPy) for automation & data transformation
- Designing efficient data models and database structures
- Building reliable batch & near real-time ETL pipelines
- Optimizing large datasets for speed and cost efficiency
What we are looking for:
- 5+ years in Snowflake data engineering
• Expert-level SQL with strong performance tuning skills
- Strong Python skills for automation & transformation
- Good understanding of data modelling and database design
• Mandatory: Snowflake SnowPro Core certification • Nice to have: Exposure to DBT for data transformations
- Analytical mindset with strong problem-solving ability
Mandatory skill sets:
Snowflake SnowPro Core certification
Preferred skill sets:
Analytical mindset with strong problem-solving ability
Years of experience required:
Experience: 5+ years
Education Qualification:
BE, B.Tech, ME, M.Tech, MBA, MCA or equivalent qualification preferred
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Amazon Web Services (AWS), Data Engineering
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
August 10, 2026
