Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

UNKNOWNofficeDirect Career PageEst. 8–18 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Popular data-engineer role in a metro with common cloud skills, producing moderate applicant density.

Background Fit Sensitivity

(Moderate)

Core data engineering skills are transferable, but cloud/vendor-specific tech raises moderate sensitivity.

Shortlisting Strictness

(Moderate)

Mandatory Snowflake/ADF/Databricks skills create selective but not highly restrictive shortlisting.

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Structured overview of role & requirements

Develop and maintain data pipelines using Snowflake, Azure Data Factory (ADF), and Databricks.

Optimize and troubleshoot data workflows to ensure efficient and reliable data processing.

Support data analytics and reporting by collaborating with data engineers and data scientists, ensuring data quality, governance, and compliance.

Proficient in Snowflake architecture, SQL queries, and performance tuning.

Experience with Azure Data Factory (ADF) pipelines, data flows, and data sets.

Hands-on knowledge of Databricks for data processing and transformation.

Work Experience Required: Not explicitly mentioned in the JD.

Has practical experience building and optimizing data pipelines in cloud environments with Snowflake, ADF, and Databricks.

Comfortable collaborating across teams to support data analytics and reporting needs.

Understands data governance, security, and compliance requirements relevant to enterprise data workflows.