Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
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.*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: 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
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
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
Preferred skill sets:
Snowflake
Years of experience required:
2-4 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: Bachelor of Engineering, Master of Business Administration, Chartered Accountant DiplomaDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Snowflake GenAIOptional Skills
Apache Airflow, Snowflake (Platform), Snowflake Data Warehouse, Snowflake Schema, Teamwork, Well BeingDesired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date