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Niche Quantexa requirement plus Bangalore metro and common data engineer title yield moderate competition.
Quantexa platform and Financial Crime focus generate high domain-specific background requirements.
Mandatory 7+ years and required Quantexa platform plus Scala/Spark/AWS create strict filters.
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Lead implementation and optimization of Quantexa platform data engineering and scoring solutions.
Design and manage cloud-based data pipelines, leveraging AWS services like EMR, S3, EC2, Lambda, and Step Functions.
Analyze complex datasets to support Financial Crime and Risk use cases, ensuring high-quality solution delivery.
7+ years of IT experience with proven expertise in Quantexa Platform Implementation.
Strong hands-on skills in Scala, Spark, SQL, and AWS services (EMR, S3, EC2, Lambda, Step Functions).
Experience in developing and optimizing data pipelines and scoring solutions.
Location: Bangalore (implied); Notice period: Not explicitly mentioned in the JD.
Experienced professional with deep knowledge of Quantexa Data Engineering and Scoring including Investigation UI.
Capability to handle large-scale datasets and deliver complex data solutions in Financial Crime domain.
Experience working with cloud-based architectures and end-to-end data pipeline design on AWS.