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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

4–8 yearsBENGALURUofficeDirect Career PageEst. 12–20 LPA

Posted 12h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong employer brand, metro location, mid-level generalist data engineer title, and broad required skillset.

Background Fit Sensitivity

(High)

Role requires domain-specific cloud data engineering (Azure Databricks, Hadoop, Spark), making cross-industry fit limited.

Shortlisting Strictness

(High)

Explicit 4-8 years plus mandatory Azure Databricks, Hadoop/Spark, SQL, and DevOps tooling increases filtering strictness.

Estimated fit based on your resume

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Structured overview of role & requirements

Lead design and development of data solutions using Azure Databricks and related Azure data services.

Analyze data to provide actionable insights and enhance data processing workflows.

Mentor junior data engineers and ensure compliance with data governance and security protocols.

4+ years of hands-on experience with Azure ADLS, Databricks, Hadoop, Spark, and related Big Data technologies.

Strong SQL skills including joins, groups, functions, and stored procedures.

Bachelor's degree in Engineering, MCA, M.Sc, M.E, M.Tech, or MBA.

Proficiency in English (oral and written).

Experienced in cloud data engineering with expertise in Azure cloud platform and data management concepts.

Ability to lead complex data projects in agile environments and mentor junior team members.

Familiarity with DevOps tools (Git, Jenkins, GitLab) and data engineering best practices.