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Tier-1 brand plus a common Data Engineer title increase applicant competition.
Data engineering skills are transferable but banking domain experience may be preferred.
Explicit 7-11 years requirement and specific Big Data tech stack enforce strict filters.
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Contribute to the development, implementation, and revision of application systems and programs aligned with business needs.
Lead and monitor all phases of application development lifecycle including analysis, design, construction, testing, implementation, and support.
Act as a subject matter expert advising senior stakeholders and coaching junior analysts, ensuring compliance, security, and best practices in system design.
7-11 years of hands-on experience in Big Data technologies such as Cloudera, Python, HQL, Java/PySpark.
Bachelor's degree or equivalent experience required.
Experience in systems analysis, data analysis, and software application programming.
Ability to manage and implement successful projects under pressure with deadlines.
Experienced in full application development lifecycle with demonstrated ability to deliver and support complex systems independently.
Proficient in Big Data technologies and programming with a focus on scalable and secure solutions.
Capable of providing consultancy-level guidance, assessing risks, and adherence to compliance in a technology environment serving diverse stakeholders.