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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

5–7 yearsBENGALURUofficeDirect Career PageEst. 14–24 LPA

Posted 18h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level Data Engineer in Bengaluru with a popular title and metro location increases applicant competition.

Background Fit Sensitivity

(Low)

Data engineering skills are broadly transferable across industries despite Databricks/PySpark specialization.

Shortlisting Strictness

(High)

Explicit 5–7 years requirement and mandatory PySpark/Databricks skills enforce strict shortlisting.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, build, and maintain scalable ETL pipelines for large-scale data processing using PySpark and Databricks.

Optimize data pipelines for performance, scalability, and cost-efficiency.

Collaborate with cross-functional teams to deliver high-quality data solutions and troubleshoot pipeline issues.

5–7 years of experience in data engineering.

Strong proficiency in PySpark (intermediate to advanced).

Hands-on experience with Databricks.

Work Experience Required: 5–7 years in data engineering.

Experienced in managing large-scale data processing workflows using modern ETL and cloud data technologies.

Able to optimize and troubleshoot data pipelines with a focus on performance and cost-efficiency.

Skilled in collaborating with diverse teams to translate requirements into technical solutions.