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.

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 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).

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).
• Experience 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:

• Snowflake (mandatory)
• Azure (mandatory)
• Python & SQL (mandatory)

Preferred skill sets:

• Strong hands-on experience in Snowflake (mandatory)
• Cloud: Azure
• Programming: Python & SQL (mandatory)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.