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Niche Quantexa requirement lowers applicants but Bangalore data engineer demand keeps competition medium.
Quantexa platform and financial-crime focus require specialized experience, limiting cross-industry transferability.
Mandatory 7+ years plus required Quantexa, Scala/Spark and AWS makes shortlisting strict.
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Lead implementation and development on the Quantexa platform, focusing on data engineering and scoring solutions.
Design and deliver cloud-based data pipelines leveraging AWS services for large-scale datasets.
Analyze complex datasets to support Financial Crime and Risk use cases within the platform.
Minimum 7+ years of IT experience with proven Quantexa platform implementation expertise.
Strong hands-on skills in Scala, Spark, SQL, and AWS (EMR, S3, EC2, Lambda, Step Functions).
Experience designing and optimizing cloud-based data pipelines and scoring solutions.
Location requirement: Bangalore (not explicitly stated as mandatory but implied by job location).
Demonstrated ability to manage Quantexa Data Engineering and Scoring implementations.
Experience working with large-scale data in cloud environments, specifically AWS.
Background or exposure in Financial Crime domain highly preferred for contextual fit.