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

fiveSevenUNKNOWNofficeDirect Career PageEst. 20–32 LPA

Posted 10h ago

Against your primary resume

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

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, popular mid-level Data Engineer title, and 5+ years experience increase applicant competition.

Background Fit Sensitivity

(Moderate)

Data engineering skills transfer well across industries, with modest advantage for finance domain experience.

Shortlisting Strictness

(High)

Multiple mandatory 5+ years requirements (Databricks, Hadoop, Scala) create strict technical filters.

Structured overview of role & requirements

Design, implement, and maintain secure, scalable data platform infrastructure across AWS/Azure and on-premises data centers.

Own and ensure internal and external SLA compliance and monitor system KPIs continuously.

Build and scale data lake, data warehouse, and stream processing systems; mentor engineers and promote best software engineering practices.

Minimum 5+ years experience with Databricks on Azure Cloud.

5+ years hands-on experience with Hadoop and Scala.

Proficiency in at least one programming language: Python, Scala, or SQL.

Work Experience Required: Minimum 5+ years in relevant Data Engineering roles.

Experienced in end-to-end data analytics workflows and DataOps/DevOps for Data Engineering.

Strong ownership mindset with ability to prioritize and execute under urgency.

Hands-on cloud platform knowledge (AWS or Azure) and familiarity with building high availability, secure, and scalable data systems.