- Designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and also to create aggregates.
- Providing support to the Data and Analytics in database design, data flow and analysis activities.
- Development and deployment of innovative big data platforms for advanced analytics and data processing.
- Update documentation associated with daily operations
- Defines and builds the data pipelines that will enable faster, better, datainformed decision-making within the business
- Strives to ensure proper data governance and quality across the Data and Analytics department and the business as a whole.
- Collaboratively with the entire Data and Analytics team, providing support to the entire department for its data-centric needs.


- Bachelor’s degree in Computer Science, Applied
- Mathematics, Information Technology, Information
- Systems, Statistics, Engineering, or any other technology-related field
- At least 2 years of experience in data engineer , ETL , Python , Pyspark , AWS Cloud

• Frame the business problem and evaluate if it can be resolve by data science solutions
• Find actionable insights from data through applying various data analytics and modeling techniques
• Select the right analytic techniques and set of potential algorithms to resolve complex business questions
• Collaborate with Data Management team to identify data requirement, pipeline as input to the data analytics and modeling process
• Perform the series of experiment with data and multiple algorithms
• Evaluate the modeling results and identify the best candidate models to implement into production
• Convert statistical results into consumable information for business usage

- Work with data model to provide recommendation on data schema (data size, data type, possible values, data integration / data reference, granularity and cardinality of data
- Consisting of source system, business analysts, business users to define technical and business reconciliation process / logic according to ETL process
- Work with business users or business analysts to understand, business process, data flow, application integration related to particular source system / bank's products

- Motivate a team of data analytics and a Strong desire to work In a team environment
- Knowledge in Data analytic

- Ensure that the business solution is successfully implemented by defining the right architecture and integrate the solution into the customer’s environment.
- Provide consultation on compliance practices and recommendations on the correct use of the solution.
- Coordinate and manage project implementation activity with customer project team.
- Understanding and interpreting business requirements and translating them for the implementations.
- Implementing and qualifying the integration of the compliance suite of products with customer’s applications.

- Bachelor’s or master’s degree in Computer Science field.
- Working knowledge in Application Support.
- Strong verbal and written skills in English is required.
- Possess business analysis skills in financial payment and compliance related areas will be an added advantage.

Linux System Administration (70%):
- Manage and maintain Linux servers, ensuring optimal performance and reliability.
- Perform system monitoring, troubleshooting, and performance tuning.
- Implement and manage system security, including user permissions, firewalls, and patch management.
- Develop and maintain system scripts for automation and efficiency.
- Backup and restore operations to ensure data integrity and availability.
- Monitor and maintain system logs for security and performance analysis.
- Provide technical support and troubleshoot issues related to Linux systems. • AWS Cloud Management (30%):
- Manage and maintain AWS cloud infrastructure, ensuring scalability, security, and performance.
- Implement and manage AWS services such as EC2, S3, RDS, VPC, and IAM.
- Develop and maintain Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
- Monitor AWS resources and optimize for cost, performance, and reliability. - Ensure compliance with security standards and best practices in AWS environments.
- Collaborate with development and DevOps teams to support cloud based applications and services.