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Bengaluru Millenia, India
Onsite
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.Job Description & Summary:
A Snowflake Developer or Data Engineer is responsible for designing, building, and optimizing cloud-based data warehousing and analytics solutions using the Snowflake platform. Professionals in this role focus on data ingestion, ELT (Extract, Load, Transform) pipeline creation, query performance tuning, and ensuring strict data security and governance.
Responsibilities:
Data Modeling & Architecture: Design and implement robust data models and schemas within Snowflake.
Pipeline Development: Build and maintain scalable data pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
Performance Optimization: Monitor and tune data warehouses, storage, and SQL queries for cost-efficiency and maximum speed.
Data Security & Governance: Implement Role-Based Access Control (RBAC), data masking, row-level security, and manage secure data sharing.
Integration: Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (e.g., dbt, Airflow, Matillion).
Mandatory skill sets:
Database & SQL Expertise: Deep understanding of relational databases, advanced SQL, and data warehousing principles.
Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting.
Cloud Experience: Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).
Experience Level: Depending on the specific role, positions typically require between 5 to 8 years of dedicated data engineering or Snowflake-specific experience
Mandatory
Strong hands-on experience in Snowflake (mandatory)
Cloud: Azure (mandatory)
Programming: Python & SQL (mandatory)
Preferred skill sets:
Database & SQL Expertise: Deep understanding of relational databases, advanced SQL, and data warehousing principles.
Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting.
Cloud Experience: Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).
Experience Level: Depending on the specific role, positions typically require between 5 to 8 years of dedicated data engineering or Snowflake-specific experience
Mandatory
Strong hands-on experience in Snowflake (mandatory)
Cloud: Azure (mandatory)
Programming: Python & SQL (mandatory)
Years of experience required:
Experience: 5 – 8 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: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Automation TestingOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 1, 2026