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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

Direct Career PageEst. 30–45 LPA

Posted 2d ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake to support real-time and batch processing.

Collaborate with scrum teams to develop database programming requirements and implement data governance using Unity Catalog.

Independently analyze and resolve real-time data pipeline issues, ensuring end-to-end problem resolution and automated unit testing.

10+ years of experience as a Lead Data Engineer.

Proven expertise in T-SQL, Azure Databricks, PySpark/Scala, Delta Lake, Unity Catalog, ADLS Gen2.

Experience with Azure cloud platform components including Data Factory (ADF), Data Lake, Azure SQL, SSIS, Microsoft TFS, Visual Studio, and DevOps.

Work Experience Required: 10+ years; Location: Hyderabad, India; Employment Type: Full-time.

Experienced in cloud-native architectures and modern data platform tools on Azure with hands-on coding and pipeline deployment skills.

Capable of operating with minimal supervision, demonstrating strong problem-solving skills and ownership of data pipeline integrity.

Comfortable working across multiple agile scrum teams and maintaining data governance standards through advanced tooling such as Unity Catalog.