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

officeDirect Career PageEst. 8–16 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong brand, common Data Engineer title, metro and broad Azure skillset increases applicant competition.

Background Fit Sensitivity

(Moderate)

Azure-specific tools bias candidates, but data engineering skills transfer across industries.

Shortlisting Strictness

(Moderate)

Mandatory Azure ADF and SQL skills increase selection filters, though years aren't specified.

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

Design and develop Azure Data Factory (ADF) pipelines for data integration and analytics.

Implement and optimize ETL/ELT workflows and data transformation processes on Azure.

Support deployment, monitoring, and troubleshooting of data integration solutions involving Azure Data Lake, Azure SQL, and Synapse.

Strong experience with Azure Data Factory (ADF) and Azure platform.

Expertise in ETL, data integration, and data warehousing concepts.

Strong SQL skills including performance tuning.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in building and optimizing enterprise-scale data pipelines on Azure.

Familiarity with Azure Synapse, Databricks, Snowflake, Python or PySpark (preferred).

Possesses or is working towards Azure certifications related to data engineering.