DATA ENGINEER

A. Data Architecture

- Deliver functionality required for business and data analysts, data scientists and other business roles to:

+ Advance the overall analytic performance and strategy of the bank.

+ Assist in building best practices and strategies for data infrastructure to fulfill data analytic and utilization.

+ Assist in building best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.

+ Collaborate with relevant teams on opportunities to manage data and provide solutions for complex data.

+ Feeds within the bank.

+ Maintain data integration processes into the data platform by building data pipelines and align with business representatives and business information needs.

+ Review internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.

B. Data Integration:

- Obtain and integrate data and information from various sources into the firm’s platforms, solutions and statistical models.

- Collaborate with Data Scientists to understand data requirements and create re-usable data assets to Enable data scientists to build and deploy machine learning models faster.

- Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis.

- Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve.

- Experience:

+ Experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and assisted the architect as needed.

+ Experience monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them.

+ Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies.

- Request:

+ Bachelor or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology.

+ 1 to 2 years of relevant experience with developing, debugging, scripting and employing big data.

+ Technologies (e.g. Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming languages (e.g. Python, R, Scala, Java, Rust, Kotlin) with preference towards functional/trait oriented.

+ Deep understanding of Information Security principles to ensure complaint handling and management of all data.

+ Has some know-how and partial scripting and coding experience to set up, configure & maintain a machine learning model development environment.

+ Some experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to a large user-base.

* Why You love working here:

- Dynamic working environment, friendly, promotion opportunities.

- KPI bonus.

- Annual salary review

- Performance Bonus

- Birthday Party monthly

- Teambuilding

- Gifts for Wedding/New born

- CV
- Relevant Qualification