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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

6–8 yearsUNKNOWNofficeDirect Career PageEst. 25–40 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, metro location, and mid-level data engineering role with broad skillset create high competition.

Background Fit Sensitivity

(Moderate)

Specialized Databricks/PySpark/AWS expertise increases domain specificity but remains transferable across industries.

Shortlisting Strictness

(High)

Explicit 6–8 years and mandatory Databricks/PySpark/AWS skills make shortlisting highly strict.

Estimated fit based on your resume

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Experience

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Structured overview of role & requirements

Design and implement scalable ETL/ELT pipelines using Databricks on AWS.

Optimize and performance tune PySpark/Databricks jobs for large-scale data processing.

Develop and deliver production-ready data solutions from PoCs with monitoring and data quality frameworks.

6–8 years of experience in data engineering.

Strong hands-on experience with Databricks on AWS and PySpark.

Proven experience with AWS services (S3, EC2) and SQL/data warehousing concepts.

Willingness to work in 2nd shift and Hybrid mode.

Experienced in large-scale data processing and performance optimization in PySpark/Databricks.

Proficient in designing and implementing ETL/ELT data pipelines on AWS cloud.

Skilled at developing production-ready solutions from PoCs with attention to data quality and monitoring.