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Tier-1 bank, metro location and recognized brand increase competition despite seniority and niche Hive skills.
Deep Big Data/Hive and ETL expertise required, making background across data-centric roles essential.
Explicit 10+ years requirement and mandatory advanced HQL, Big Data and ETL skills make filters stringent.
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Lead complex extraction query creation and modification on Big Data using Hive Query Language (HQL).
Drive technical development within the HR Data team supporting HR and related business functions by implementing and optimizing data workflows and ETL solutions.
Utilize expertise in data modeling, process workflows, and Big Data technologies to enhance software engineering and data analysis in an agile environment.
10+ years of professional experience in software development, primarily in IT data analysis roles.
Advanced proficiency in Hive Query Language (HQL) and hands-on experience with Big Data technology stack.
Bachelor's Degree in Technology, Computer Science, Information Systems, or equivalent, plus certification or exposure in a business analyst role within an IT environment.
Experience with HR data domain preferred; knowledge of Agile methodology and tools such as HUE, Hive, and PostgreSQL.
Experienced in leading data-centric IT architecture projects particularly in HR or business-related data domains.
Strong analytical, logical, and troubleshooting skills with accountability and problem-solving focus.
Preferred French language proficiency (intermediate to fluent, especially oral/conversational) to engage effectively in the team environment.