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Tier-1 brand and metro location present, but senior specialized Big Data focus limits applicant density.
Technical big-data skills transfer across industries, though banking domain knowledge increases sensitivity moderately.
Explicit 10+ years and specific PySpark/Hadoop expertise plus leadership make filters strict.
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Lead integration and deployment of new products and enhancements involving applications systems analysis and programming within a technology team.
Design, develop, and optimize scalable ETL pipelines using PySpark for large datasets, ensuring data quality and integrity throughout the lifecycle.
Allocate and coach team members, manage cross-functional projects, interact with senior leadership, and ensure compliance with applicable laws and policies.
10+ years of experience in enterprise applications development with systems analysis and programming of software applications.
Proficiency in PySpark, Big Data technologies (HDFS, Hive, Sqoop, Hadoop), Python coding, and experience with SQL Server and Oracle databases.
Bachelor’s degree or equivalent experience required; Master’s degree preferred.
Work Experience Required: 10+ years relevant experience in application development and project implementation.
Demonstrated Subject Matter Expert (SME) in applications development with deep knowledge of client core business functions.
Experienced in leading large budget, cross-functional projects with strong project management and development skills.
Strong communication and consensus-building abilities with senior leaders and external parties.