Job highlights

- Performance Optimization: Monitor and tune data warehouses,storage,and SQL queries for cost-efficiency and maximum speed. . Data Security Governance: Implement RBAC,data masking,row-level security,and secure data sharing.
- Required Skills Qualifications
- Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting.

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics AI

Management Level Senior Associate

Summary

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 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 (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:

- Robust 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)

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.

📌 IN_Senior Associate_Snowflake_Data Analytics_Advisory (Bengaluru)
🏢 PwC Acceleration Centers in India
📍 Bengaluru