20 hours ago
Sydney, AustraliaSenior
Responsibilities
- Design, configure, develop, and deploy Quantexa solutions aligned with business and technical requirements.
- Build and optimize entity-resolution, data-ingestion, scoring, network-generation, and analytics pipelines.
- Develop data models and integrate structured and unstructured data from multiple source systems.
- Configure Quantexa Decision Intelligence components, including entities, documents, networks, strategies, and scoring models.
- Develop scalable data-processing solutions using Scala, Apache Spark, and related big-data technologies.
- Perform data profiling, cleansing, matching, reconciliation, and root-cause analysis to improve data quality.
- Collaborate with business analysts, architects, data scientists, and engineering teams to translate use cases into technical solutions.
- Troubleshoot performance and functional issues across development, test, and production environments.
- Implement automated testing, code reviews, version control, CI/CD, and deployment best practices.
- Prepare technical designs, configuration documents, operational guides, and knowledge-transfer materials.
Requirements
- 6–10 years of overall experience in software engineering, data engineering, or analytics solution development.
- Strong hands-on experience implementing solutions on the Quantexa platform.
- Proficiency in Scala, Apache Spark, distributed data-processing concepts, and SQL.
- Experience with entity resolution, record linkage, data matching, network analytics, and graph-based analysis.
- Understanding of data modelling, data quality, ETL/ELT, and data integration patterns.
- Experience with Git, build tools, automated testing, CI/CD pipelines, and Agile delivery practices.
- Strong analytical, debugging, problem-solving, and stakeholder communication skills.
- Quantexa Certified Developer or equivalent platform training is preferred.
- Financial crime, fraud detection, anti-money laundering, customer intelligence, risk, compliance, banking, or financial services experience is preferred.
- Exposure to Azure, AWS, Google Cloud, containerized deployment environments, Elasticsearch, graph concepts, and enterprise data security controls is preferred.
Benefits
- Full-time role with opportunities to pursue innovative career tracks.
- Professional development through education and dedicated training.
- Compensation, benefits, and wellness packages.
- Collaborative work with colleagues and clients on emerging technology trends.
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.