Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.
Job Description & Summary: A career within….
Responsibilities:
Knowledge of SQL language and cloud-based technologies
Data warehousing concepts, data modeling, metadata management
Data lakes, multi-dimensional models, data dictionaries
Migration to AWS or Azure Snowflake platform
Performance tuning and setting up resource monitors
Snowflake modeling – roles, databases, schemas
SQL performance measuring, query tuning, and database tuning
ETL tools with cloud-driven skills
Integration with third-party tools
Ability to build analytical solutions and models
Coding in languages like Python
Hadoop, Spark, and other warehousing tools
Managing sets of XML, JSON, and CSV from disparate sources
Snowflake warehousing, architecture, processing, administration
Data ingestion into Snowflake
Enterprise-level technical exposure to Snowflake applications
Proven track record of data migration and optimization within Snowflake
Ability to translate business needs into technical specifications
Design and implement scalable and efficient data storage solutions using Snowflake.
Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
Integrate Snowflake with various data sources and third-party tools.
Ensure data security and compliance with industry standards.
Collaborate with cross-functional teams to meet data-driven business objectives.
Stay updated with the latest Snowflake features and best practices.
Proficient in SQL and familiar with ETL processes
Experience with data modeling and cloud computing environments
Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning
Understanding of data compliance and security best practices
Experience in performance tuning and cost optimization in a cloud data platform
Familiarity with BI tools integration, such as Tableau.
Mandatory skill sets:
Snowflake & SQL
Preferred skill sets:
Snowflake & SQL
Years of experience required:
3-10 Years
Education qualification:
BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Dialectical Behavior Therapy (DBT), Snowflake GenAIOptional 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
June 23, 2026
