Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Emerging Technologies
Management Level Senior Associate
& Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).
*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 .
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. "
Responsibilities:
Bachelor's or Master's degree in Computer Science or Engineering. 8+ years of experience in Data Warehousing and Data Architecture. 3+ years of hands-on, in-depth experience as a Snowflake Architect or Senior Data Engineer focused on Snowflake. Proven experience with cloud platforms such as AWS, Azure, or GCP. Strong expertise in SQL and data modeling (Dimensional, 3NF, Data Vault). Deep understanding of Snowflake architecture and its unique features. Hands-on experience with ETL/ELT tools and techniques for migrating data to Snowflake. Experience with scripting languages like Python for data processing and automation. Knowledge of version control (e.g., Git) and CI/CD processes. Preferred: Snowflake Certification (e.g., Snowflake SnowPro Advanced Architect). Experience with Data Lake technologies (e.g., S3, ADLS) and integration with Snowflake. Familiarity with BI tools (e.g., Tableau, Power BI) and their integration with Snowflake. Experience with Infrastructure as Code (IaC) tools like Terraform.
Mandatory skill sets:
Snowflake
Preferred skill sets:
Snowflake
Years of experience required:
4-8
Education qualification:
Btech/MBA/MCA
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Snowflake GenAI
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements Not Specified
Available for Work Visa Sponsorship? No
Government Clearance Required? No
Job Posting End Date

Skills Required