Senior Data Engineer

3 weeks ago

Manila, National Capital Region, Philippines ING Full time

Data Engineer

Responsibilities

  • Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified data into target platforms for further consumption and integration as required by product owners.
  • Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data security in mind.
  • Build supporting tooling and procedures needed for data movement and monitoring activities.
  • Implement available automations for data movement processes.
  • Ensure delivered workflows and processes meet expected quality outputs through conducting testing.
  • Document specs and implementations of deliverables mentioned.
  • Work with operations teams for maintenance and continuous improvement of workflowsand pipelines.
  • Work on distributed Data processing and database with Distribution & partitioning
  • Ability to perform tasks related to end-to-end Data Journey including Reporting.
  • Ensure integrated data pipeline validation is performed.

Job Description:

We are looking for you, if you:

  • You have experience in data processing using Azure Data Factory,
  • Worked with Power BI Service or Power BI Report Server and have experience in dashboard creation (incl. DAX) and administration,
  • Know SQL and SQL Server/Oracle Database,
  • Have knowledge of methodologies for creating data warehouses and designing ETL processes,
  • Have expertise with the implementation of programming solutions on large data sets, statistical analysis Plans and technical specifications documents,
  • Are a naturally collaborative person who listens and invests in others to achieve common goals,
  • Love to challenge the status quo and are eager to propose creative solutions to problems,
  • Have ability to quickly adopt to change and still complete your tasks,
  • Have good communication skills, writing and verbal in English.

You will get extra points for:

  • Experience with Business Intelligence tools such as Visual Analytics,
  • Basic SAS knowledge,
  • Knowledge about Credit Risk and how bank works,
  • Azure DevOps.

Your responsibilities:

  • Building scalable and efficient pipelines in Azure Data Factory,
  • Translate the business requirements into strong visualizations in Power BI,
  • Development of Business Intelligence environment,
  • Architectural improvements,
  • Documentation – technical and for business users.

Information about the squad:

  • As a Data Engineer, you will be part of ING Hubs Poland. You will be involved in data processing automation, data structures development, dashboards preparation.
  • You will be working in an Agile environment by being a member of a multidisciplinary team of 5 to 9 specialists. Your colleagues will have a background in Data Analytics, Data Management, Reporting in the Credit Risk domain.

Nice to have

  • Proficiency and experience in programming languages such as Python, shell scripting
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