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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

5–8 yearsBENGALURUofficeDirect Career PageEst. 18–30 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong PwC brand, mid-level 5–8yrs role, and Bangalore metro raise applicant competition.

Background Fit Sensitivity

(Moderate)

Specialized Snowflake/Azure data engineering skills are transferable but still impose moderate domain bias.

Shortlisting Strictness

(High)

Mandatory Snowflake, Azure, Python plus explicit 5–8 years makes filters highly strict.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, build, and optimize cloud-based data warehousing and analytics solutions on Snowflake.

Develop and maintain scalable ELT pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.

Implement data security, governance, and performance tuning for cost-efficiency and speed.

5 to 8 years of experience in data engineering or Snowflake-specific roles.

Mandatory hands-on experience with Snowflake platform and Microsoft Azure cloud.

Proficiency in Python and SQL programming languages.

Bachelor's degree in Engineering or Technology (B.E, B.Tech, MCA, M.E, M.Tech).

Strong expertise in Snowflake data modeling and architecture within cloud environments, especially Azure.

Experience integrating Snowflake with third-party ETL/ELT tools like dbt, Airflow, or Matillion.

Capable of maintaining data security standards including RBAC, data masking, and secure data sharing.