Quantexa Data Engineer

About Us: Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. Job Summary: We are looking for a skilled Quantexa Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions supporting financial-services use cases such as KYC, AML, fraud detection, customer intelligence, and entity resolution. Key Responsibilities: • Design, develop, and maintain scalable ETL/ELT data pipelines for large and complex datasets. • Ingest, transform, cleanse, standardize, and integrate data from multiple internal and external sources. • Work with the Quantexa platform to support entity resolution, data integration, customer 360, and network analytics use cases. • Develop and optimize data processing workflows using Apache Spark/PySpark and/or Scala. • Build data models and data structures required for customer, account, transaction, company, and relationship data. • Support entity matching and resolution by preparing high-quality and standardized source data. • Perform data profiling, quality checks, reconciliation, and validation. • Develop efficient SQL queries for data extraction, transformation, and analysis. • Troubleshoot pipeline failures and resolve data quality and processing issues. • Optimize data pipelines for performance, scalability, and reliability. • Collaborate with Data Scientists, Business Analysts, Quantexa developers, and business stakeholders to translate requirements into robust data solutions. • Support deployment, monitoring, and maintenance of data engineering solutions across environments. Key Requirements: • Strong experience in Data Engineering and building production-grade data pipelines. • Strong hands-on experience with Python and SQL. • Good experience with Apache Spark / PySpark; Scala would be an added advantage. • Experience working with large-scale structured and/or unstructured datasets. • Strong understanding of ETL/ELT, data transformation, data modelling, and data quality. • Experience integrating data from multiple source systems. • Hands-on experience with Quantexa or similar entity resolution / data intelligence platforms is preferred.