Senior Officer - Data warehouse

Summary:

Senior Data Engineer who is expected to build high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The data engineer is a skilled data / software engineer with experience creating data products supporting analytics. The candidate should possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and solve complex data problems and deliver the insights to enable analytics strategy.

Role and Responsibilities:

Technical data development

- Collect, blend, and transform data using ETL tools (Oracle data Integrator ODI )

, data warehousing systems (OFSAA), and code development (e.g., SQL, Oracle ).

- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.

- Create data products for analytics and data science team members to improve their productivity.

- Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve our productivity as a team.

- Partner with BI analysts and solutions architects to develop technical architectures for strategic banks projects and initiatives.

- Learn about key data technical topics covering machine learning, data science, computer vision, artificial intelligence, statistics.

- Implement data models and structure data in ready-for BI consumption formats.

- Perform aggregations on data across various warehousing models for BI purposes.

Business collaboration

- Improve the data availability by acting as a liaison between business and source systems.

- Solve complex data problems to deliver insights that helps our business to achieve their goals.

- Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.

- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.

Qualifications & Competencies:

• 4+ years of work experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas relevant to data engineering responsibilities and tasks relevant to data engineering responsibilities and tasks directly.
• At least one year of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
• A bachelor's degree in computer science