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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 yearsPUNEofficeDirect Career PageEst. 12–24 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier‑1 brand, mid-level generalist role, metro location and broad skillset increase competition.

Background Fit Sensitivity

(Low)

PySpark/Hadoop/SQL skills are broadly transferable across industries and employers.

Shortlisting Strictness

(High)

Explicit 4–8 years requirement plus mandatory PySpark/Hadoop and SQL skills enforce strict filtering.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, develop, and optimize scalable ETL data pipelines using PySpark for large-scale datasets.

Collaborate with cross-functional teams to integrate data solutions and ensure seamless operations.

Troubleshoot and optimize Spark applications and big data processes, ensuring high data quality and integrity.

4-8 years of experience in enterprise application development.

Proficiency in PySpark and Big Data technologies including HDFS, Hive, Sqoop, and Hadoop.

Experience with SQL Server and Oracle databases, including query writing for data validation/manipulation.

Proficient in Shell scripting and familiar with job scheduling tools like Autosys.

Experienced in handling full software development lifecycle in big data environments.

Strong programming skills in Python with solid object-oriented programming foundation.

Familiar with DevOps practices, CI/CD pipelines, version control (Git), and collaboration tools (JIRA, Confluence).