Data Engineer

• Own aspect of designing, building and maintaining a scalable and efficient cloud base data platform to meets the needs of trading analytics.
• Help implement processes and tools to monitor and improve data quality.
• Model and efficiently store financial trading data for use in analytics.
• Create procedures to ensure best practices are being met in the software development process.
• Liaise with technical and business individuals who may be internal staff or external vendors towards the completion of projects.
• Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.
• Provide knowledge transfer of application support and deployment processes to team members, Operations, and Support personnel through proper documentation.
• Proactively find improvement opportunities to streamline business processes, automate manual processes where appropriate.
• Other duties as assigned.

• University degree in Engineering or Computer Science.
• 8+ year of relevant experience
• Good understanding of trading, capital market, trade life cycle with an eagerness to contribute to the systems that support them.
• Strong knowledge of software development best practices and patterns.
• Strong problem-solving and debugging skills
• Strong hands-on experience in Python, AWS Cloud and Kubernetes.
• Strong working knowledge of Databases - SQL
• Expertise with Data Engineering: data pipelinea, data quality principles, data profiling techniques and data governance best practice
• Knowledge of technologies for Cloud development. Experience working with AWS is must.
• Good to have experience in BI tools like Quicksight etc.
• Passion to expand your domain knowledge both on the job and through continued education
• Commitment to our Client's guiding principles of integrity, partnership and high performance.

Luxoft