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Tier-1 bank brand, popular data engineer title, and metro Chennai increase applicant competition.
Role prefers financial-services or large global environment experience, so industry fit is moderately important.
Explicit 12+ years and mandatory big-data, Python, cloud, and ML experience create very strict filters.
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Lead design and implementation of large-scale data solutions supporting AI/ML applications within a financial or complex global environment.
Partner with multiple management teams to integrate application functions, identify system enhancements, and resolve high impact business and system process issues.
Provide technical leadership and mentoring to mid-level developers and analysts, ensuring application programming aligns with architectural standards and compliance requirements.
12+ years of relevant engineering experience; experience in financial services or large/complex global environments mandatory.
3+ years hands-on experience with Big Data technologies such as Apache Spark, Hive, Hadoop, and Storm.
Strong proficiency in Python with significant experience in data manipulation and AI/ML pipeline scripting.
Bachelor’s degree or equivalent required; Master’s degree preferred.
Demonstrated ability to deliver operational process improvements and system enhancements in matrixed, high-pressure environments.
Expertise in designing scalable data solutions incorporating cloud (Azure, AWS), containerization (Docker, Kubernetes), and NoSQL databases.
Experience leading cross-functional teams and navigating complex compliance and risk considerations in application development.