Data Engineer

ING Hubs Philippines; Metro Manila; On-site; PHP 700,000 - 1,300,000; Full time

Job summary

ING Hubs Philippines seeks a Data Engineer to design, develop and optimize data solutions within the Data Warehouse environment. You will collaborate with business units to translate requirements into scalable ETL processes and reports, leveraging Informatica, SQL and BI tools.

You will mentor junior teammates, contribute to data quality initiatives, and help advance ING's data mesh architecture while adhering to governance and delivery best practices.

Qualifications

• 3+ years of experience in data warehousing or related function.
• 2+ years as a data integration expert.
• 1+ end-to-end BI project delivery experience.
• Financial services experience preferred.
• Experience with Agile in large organizations and CD/DevOps.

Responsibilities

• Collaborate with the business to understand requirements.
• Provide ETL solutions using Informatica to support BI needs.
• Design and develop data processes per ING’s standards.
• Analyze source systems to identify data sources.
• Identify and resolve data quality issues.
• Identify opportunities to add value to source data.
• Estimate effort for tasks.
• Implement and enhance automation processes.
• Design solutions aligned with ING’s data mesh architecture.
• Improve system performance via tuning and optimization.
• Contribute to documentation and code reviews.
• Follow project plans and schedules.
• Reuse components where possible.
• Promote Best Practice ethos.

Skills

Informatica Power Center

SQL

Data Modeling

Business Objects

Tableau

Qlik

SAS

Agile & Waterfall

Data Warehousing

ETL

Tools

MS SQL Server

Tableau

Business Objects

SAS Enterprise

Qlik

Informatica

Job description

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.

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.
• Fluent in Kimball or Inmon Datawarehouse modelling techniques.
• Fluent in SQL.
• Relational database experience (preferably MS SQL Server).
• Business Objects including universe design desirable
• SAS Enterprise experience desirable.
• Experience with Visualization Tools like Qlik or Tableau.
• Experience in Agile and Waterfall methodology.
• Big Data experience desirable.

Minimum Qualifications

• 3+ years experience in Data warehousing or related function.
• 2+ years experience as a Data Integration Expert.
• 1+ End to End BI Project Delivery experience.
• Financial services industry experience highly regarded.
• Agile in large organizations.
• Continuous Delivery / DevOps.