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Tier-1 brand, popular data-engineer role, and metro location increase applicant competition.
Core data engineering skills transfer across industries, though banking domain knowledge moderately matters.
Explicit 7–11 years plus mandatory big-data tech stack implies high shortlisting strictness.
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Participate in establishing and implementing new or revised application systems and programs aligned with business needs within the Technology team.
Conduct feasibility studies, risk technology evaluations, application development, testing, implementation, and provide ongoing user and operational support.
Serve as subject matter expert advising senior stakeholders and lower-level analysts, ensuring compliance with laws, policies, and firm risk standards.
7-11 years of hands-on experience with Big Data technologies such as Cloudera, Python, HQL, Java/PySpark.
Bachelor’s degree or equivalent experience required.
Experience in systems analysis, data analysis, software programming, and successful project management.
Work Experience Required: 7-11 years relevant experience explicitly mentioned.
Experienced in managing end-to-end application development lifecycle in a technology-driven environment involving complex data systems.
Capable of operating with limited supervision and exercising independent judgment as a subject matter expert.
Familiar with technology consulting/project management techniques and able to handle pressure and deadlines effectively.