Collaborating with both internal and external stakeholders,
Managing, transforming, and cleansing large datasets to help clients tackle challenges in fraud detection, compliance, and financial crime prevention,
Participating in regular team sprints and Scrum meetings to ensure smooth project progress,
Working closely with multidisciplinary teams, including Data Scientists, Business Analysts, Technical Leads, Project Managers, and Solutions Architects, to deliver exceptional solutions that meet client expectations.
Requirements:
Demonstrated experience in working with big data, whether from a data science or implementation perspective,
Familiarity with big data tools and technologies such as Spark, Hadoop, and Elasticsearch,
Strong programming skills in Scala,
A solid understanding of Agile methodologies and experience working in Agile teams,
Expertise in designing and implementing production-ready data processing pipelines, including traditional ETL processes or analytics workflows.
Nice to have:
A focus on automation and process optimisation,
Strong communication and presentation skills,
Problem-solving and facilitation abilities,
A proactive mindset, constantly seeking opportunities to improve processes and methods.