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Tier-1 bank and Bangalore location increase competition, balanced by seniority and niche Big Data/Hive skillset.
Core Big Data and HQL skills transfer across industries, but banking HR domain and seniority increase domain specificity.
Explicit 10+ years and mandatory HQL/Big Data/ETL skills make screening highly selective.
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Lead creation and modification of complex extraction queries using Big Data technologies with a focus on Hive Query Language (HQL).
Contribute to agile, data-centric IT architecture projects within HR Data and related business domains.
Provide technical leadership in implementing process workflows, data modeling, and ETL solutions using Big Data stack and software engineering principles.
10+ years of professional experience in software development, primarily in IT data analyst roles involving complex Big Data query creation/modification.
Bachelor’s degree in Technology, Computer Science, Information Systems, or equivalent; Business Analyst exposure and certification in IT environment.
Advanced expertise in Hive Query Language (HQL) and strong knowledge of process workflows, data modeling, ETL concepts, and technical hands-on skills.
Experience with tools like HUE, Hive, and PostgreSQL; exposure to HR data domain preferred; knowledge of Agile methodology and intermediate to fluent French language is ideal but not mandatory.
Senior data-focused technologist comfortable working on HR domain Big Data solutions and complex query development.
Able to lead data extraction and transformation efforts within an agile environment and contribute to architecture design.
Experience with both analytical and software engineering aspects of Big Data technology stacks, demonstrating strong problem solving and troubleshooting skills.