IN_Senior Associate_Snowflake_Data Analytics_Advisory_Bangalore

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 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. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. 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.

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,   Matillio n ).    Required Skills & Qualifications  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).

Level:   Depending on the specific role, positions typically require between   5 to 8   years of dedicated data engineering or Snowflake-specific experience   Mandatory skill sets: S trong hands-on experience in  Snowflake  (mandatory)   Cloud:  Azure (mandatory)   Programming:  Python & SQL (mandatory)   Preferred skill sets: Strong hands-on experience in  Snowflake  (mandatory)   Cloud:  Azure (mandatory)   Programming:  Python & SQL (mandatory)   Years of experience required: 5 to 8 years Education qualification: B.E,