Big Data Consultant

• Design, build, and optimize large-scale data pipelines and ETL processes.
• Develop robust solutions using Java, Scala, and Python.
• Work on projects related to fraud detection, financial crime prevention, compliance, or customer insights using predictive analytics.
• Apply statistical methodologies and detection logic to enhance model accuracy and data-driven decision-making.
• Perform data mapping and work with both relational and object-oriented data structures.
• Parse, analyze, and resolve data quality issues across complex datasets.
• Collaborate within Agile teams to deliver high-quality software and data solutions.
• Integrate and maintain systems using RESTful APIs and JSON.
• Support operational environments and participate in DevOps routines.
• Conduct research and analysis to improve data model performance and system capabilities.
• Utilize version control systems, IDEs, and standard software development tools to deliver scalable solutions.

We are seeking an experienced Big Data Consultant with strong hands-on development skills and a solid background in data engineering, system integration, or data science projects. The ideal candidate will have experience within fraud, financial crime, compliance, or customer insight domains, leveraging advanced detection and predictive models., * Programming: Java, Scala (strong hands-on experience), Python

• Big Data Technologies: Hadoop, Spark
• ETL Tools: Ab Initio, Informatica
• APIs & Data Formats: RESTful APIs, JSON
• Data Engineering: Data mapping, data quality, relational & object-oriented structures
• Development Tools: Version control systems (e.g., Git), standard IDEs
• Optional but Preferred: Elastic, Tomcat/Jetty
• Methodologies: Agile, statistical analysis, detection logic
• Operating Environments: Familiarity with operational systems and DevOps practices