Data Engineer

ING Hubs Philippines; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

ING Hubs Philippines is seeking a Data Engineer in Manila to engage in data design, analysis, and development. The role involves providing ETL solutions, designing modern data processes, and ensuring data quality. The ideal candidate should have advanced knowledge of data applications and strong expertise in Informatica Power Center. This position offers opportunities for coaching and mentoring within a diverse workforce focused on innovation and sustainable progress.

Qualifications

• Advanced knowledge of a modern data application.
• Experience creating data integration solutions.
• Strong knowledge in Informatica Power Center and related products.

Responsibilities

• Collaborate with the Business to fully understand business requirements.
• Provide ETL solutions that support Business Information requirements.
• Design and develop modern data processes using Informatica.

Skills

Data integration solutions

Informatica Power Center

Logical and Physical Data Modelling

Data quality monitoring

Job description

Background on what ING is about: ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them. ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!

Job Overview

The Data Engineer engages in data design, analysis and development, providing insights and identifying opportunities for improvement. Business and systems analysis, development and testing, combined with business risk assessments and data quality monitoring are also components of the role. The role is responsible for ensuring that the Business Reporting programs and processes are kept up-to-date, and that new and modified programs are delivered as needed. The Data Engineer is also responsible for designing and enhancing the Business Objects and Tableau Reports used in the Data warehouse environment. This provides the organization with a best practice analytical platform to make effective, fact based decisions. Data Engineer also plays a critical role in supporting the SAS application used for Data Analytics by Business. The Data Engineer will also be responsible for coaching and mentoring less experienced team members to build their capability.

Key Responsibilities

• Collaborate with the Business to fully understand business requirements.
• Provide ETL solutions that support Business Information requirements in Informatica.
• Design and develop modern data processes using Informatica to ING’s standards.
• Analyze source systems to identify appropriate sources of data.
• Identify and resolve data quality issues.
• Identify opportunities to value-add to source system data.
• Estimate effort involved in work tasks.
• Implement and enhance automation processes.
• Design solutions that are in keeping with ING’s data mesh architecture.
• Improve system performance by tuning and optimizing the platform and platform workloads.
• Use components of the Project Life Cycle to enhance quality in areas of Documentation, Standards, Formal and informal code reviews – as either reviewer or author.
• Work to project plans and schedules.
• Re-use components whenever possible.
• Promoting ‘Best Practice’ ethos.

Key Capabilities/Experience

• Advanced knowledge of a modern data application.
• Experience creating data integration solutions.
• Strong knowledge in Informatica Power Center and related products.
• Experience in Logical and Physical Data Modelling, including dimensional, relational, and flat-file data structures.