Job Purpose :
- Leading and mentoring a team of junior data engineers within an agile framework.
- Writing efficient, fault-tolerant, production-level code for your deployment.
- Collaborating with Solution Architects to champion solutions and standards for complex big data challenges.
- Ensuring best practices are followed within the team.
- Advising colleagues on technical concepts and translating them into actionable insights for decision-making.
- Supporting development and operations by ensuring high-quality, operationally stable systems.
Key Specifications :
Basic understanding of banking and financial services domain to understand requirements.
Familiarity with agile development methodology / JIRA and requirements backlog management.Involvement in development projects, with exposure to Financial Crime Compliance areas such as Client Lifecycle Management, Know Your Customer (KYC) and Customer Due Diligence (CDD)General development environment skills (code control, IDE s), understand processes such as unit testing, documentation, designKey Responsibilities
Analyze large datasets to derive actionable insights.Develop machine learning models to solve complex business problems.Collaborate with cross-functional teams to understand data requirements.Design and maintain databases for efficient data storage and retrieval.Implement and optimize algorithms for performance improvement.Create visualizations to present findings to stakeholders.Conduct statistical analysis to identify patterns and trends.Provide training and support to team members on data tools.Document processes and methodologies for data analysis tasks.Stay updated with industry trends and best practices in data science.Participate in requirements gathering with business users.Develop prototypes and proof-of-concept applications.Implement data pipeline processes for real-time analytics.Utilize business intelligence tools for reporting and performance metrics.Ensure compliance with data privacy regulations and policies.Skills Required
Machine Learning, Data Analysis, Due Diligence