Data Engineer

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JOB PURPOSE

Performs a broad range of various work activities mostly development, implementation, maintaining and improving the bank’s single-source-of-truth to support businesses via automation processes and data engineering’s related activities.

JOB RESPONSIBILITIES

• Develop thorough understanding of data acquisition, data transformation, data monitoring, data retention, data mobilization, automation, and access and change management.
• Manage and monitor Daily and Monthly data in Data Acceleration Office data marts to ensure data availability, quality and consistency.
• Gather, assess, and design the data integration (ETL/ELT) of related bank’s initiative from Data Acceleration Office or business units
• Consolidate, plan and execute the data acquisition, data extraction, data integration, and data mobilization activities based on requirement from Data Acceleration Office or business units.
• Coordinate with the project manager to provide exceptional service to our clients; communicate with clients on a regular basis for requirements status updates and gathering issue resolution.
• Create, maintain and manage Automation initiatives/activities with regards to;

a) Automation of repetitive reporting from the reports designed by Data Acceleration

Office.

b) Automation of new data acquisition or data mobilization processes with regards to

Data Acceleration Office data mart enrichment, analytics initiatives or database

campaign improvement.

c) Automation of processes within pillars of Data Acceleration Office or within Business

Performance Management with regards of business process improvement and

efficiencies.

• Management and continuous development of the bank’s single-source-of-truth (Enterprise Data Hub) architecture and applications on behalf of Data Acceleration Office which covers and not limited to the areas of;

a) Day-to-day support and maintenance which involving monitoring as well as assessment

of the data-pipelines related incident, performance and capacity

b) Any upgrade/patching activities for the Enterprise Data Hub applications for product

version/patch and software upgrade.

c) Any enhancement or integration initiative of Enterprise Data Hub (EDH) and

infrastructure of other Affin systems.

d) Managing and anticipating the operational risk available/exposed to the current

Enterprise Data Hub application and architecture.

e) Coordination with IT & Vendor team with regards to continuous improvement and

performance stability.

• Project Management:

a) Assist in creating project plans for small projects in conjunction with the business.

b) Assist with managing, supporting, and following up with the project team on these

projects.

c) Monitor and manage project progress

• Key Liaison:

a) Collaborate with IT team on new data sources or data fields and incorporate them into

EDH data marts

b) Ensure EDH data marts and reporting batch jobs aligned with the bank’s database batch

activities.

c) Collaborate with Data Governance with regards to data quality, data governance and

enterprise data house development.

d) Collaborate with Data Analytics with regards to data extraction/statistics,

leads/campaigns generation, reports/dashboards, and AI/ML model

JOB REQUIREMENTS

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Data Engineering, Data Science, Information Systems, or a related discipline.
• Relevant professional certifications in Cloud Technologies (Azure, AWS, GCP), Data Engineering, ETL Development, or Database Management will be an added advantage.
• Hands-on experience in ETL development using data integration tools such as Talend, Apache Airflow, or similar platforms.
• Knowledge of workload automation and job scheduling tools such as Control-M, Dollar Universe, or similar solutions.
• Proficient in database querying and programming languages, including SQL, SAS, DB2, or equivalent technologies.
• Familiarity with Unix/Linux environments and scripting languages such as Shell or Bash.
• Understanding of financial data and business processes, preferably within the banking or financial services industry.
• Strong analytical and critical thinking skills with the ability to interpret complex data sets.
• Excellent problem-solving skills with the ability to identify issues, recommend solutions, and drive resolution effectively.
• Excellent communication and interpersonal skills and strong business writing and documentation capabilities.