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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

threeFivePUNEofficeDirect Career PageEst. 12–20 LPA

Posted 1d 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

(High)

Tier-1 brand, popular mid-level data role, metro location, and broad skill requirements increase competition.

Background Fit Sensitivity

(High)

Role demands banking domain experience (Credit Cards, Retail Banking) plus data engineering, making background fit highly sensitive.

Shortlisting Strictness

(High)

Multiple mandatory technologies, explicit years requirement, and domain experience create strict screening filters.

Structured overview of role & requirements

Own design and development of Big Data systems using Hive, Hadoop, Spark (Python/Scala).

Transform unstructured and undocumented code into efficient, best-in-class data processing systems.

Manage large datasets and data warehouses ensuring optimized ETL and performance processes.

1-3 years experience with Big Data technologies including Hive, Hadoop, Spark (Python/Scala).

Strong programming skills in Python, Scala, SQL, and Unix scripting.

Bachelor's degree or equivalent in engineering or related field.

Experience working in onsite/offsite delivery models; experience in Credit Cards and Retail Banking domain.

Experience designing systems with high computational needs across real-time and batch processes.

Familiarity with data ingestion, ETL tools (e.g., Talend) and data governance/security practices.

Ability to handle multiple stakeholders with strong communication, project management, and risk awareness skills.