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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

8–12 yearsofficeDirect Career PageEst. 20–35 LPA

Posted 20h ago

Against your primary resume

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Experience

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Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Popular data role in Pune but specialized Azure/Databricks/Kafka requirements moderate competition.

Background Fit Sensitivity

(Moderate)

Cloud data engineering skills are transferable, though Salesforce integration focus adds moderate domain specificity.

Shortlisting Strictness

(High)

Explicit 8–12 years requirement plus mandatory Azure, Databricks, and Kafka skills increases filter strictness.

Structured overview of role & requirements

Lead Azure data engineering solutions including design and implementation using Databricks and Kafka events.

Own end-to-end data pipelines and infrastructure to deliver measurable business outcomes for clients.

Collaborate with senior architects to solve complex Salesforce integration challenges with a data engineering focus.

8-12 years of work experience in data engineering or related roles.

Proficient hands-on experience with Azure Data Engineering, Databricks, and Kafka events.

Location requirement: Hybrid work mode in Pune, India.

Employment type: Full-time position.

Experienced senior data engineer comfortable working in hybrid and collaborative environments with practice leadership.

Strong depth in Salesforce integrations and domain knowledge combined with data engineering expertise.

Ability to engage in technical problem-solving with senior architects and deliver operational impact in client projects.