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Data Engineer

at ING Bank

Back to all Data Engineering jobs
ING Bank logo
Investment Banking

Data Engineer

at ING Bank

Mid LevelNo visa sponsorshipData Engineering

Posted 5 days ago

No clicks

Compensation
Not specified PHP

Currency: PHP

City
Not specified
Country
Not specified

Implement and maintain data workflows, ETL/ELT pipelines to move and transform data across systems. Design and implement data storage solutions (databases, data warehouses, data lakes) with security and governance in mind. Build tooling, automation, and monitoring for data movement and workflows; ensure quality through testing. Collaborate with operations teams and data owners to maintain and continuously improve pipelines across target platforms.

JobOverview

  • Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified
  • 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 pipelinesinto target platforms for further consumption and integration as required by productdataowners

Key Capabilities/Experience

  • Proficiency and experience in programming languages such asPython, shell scripting
  • Expertise inETL technologiessuch as IBM DataStage or similar tooling and data integration
  • Expertise in SQL / RDBMS databases, handling of structured and unstructured data
  • Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)
  • Experience in cloud platforms and technologies (Azure, AWS, GCP)and DBT
  • Flexible and willing to learn various ETL / data integration tools and products
  • Experienced withsoftware version control technologies such as Git
  • Experience inAutomic (UC4) is a plus
  • Experience in CI / CD and Devopsis a plus

Minimum Qualifications

  • Strong problem solving and solutions engineering mindset
  • Experience in working andcoordinating remotely withinternationalteams and stakeholders
  • Experience in Agile way of working is a plus
  • Preferably a degree in the related fields of Computer Science
  • Professional proficiency in English(speech and writing)

Data Engineer

at ING Bank

Back to all Data Engineering jobs
ING Bank logo
Investment Banking

Data Engineer

at ING Bank

Mid LevelNo visa sponsorshipData Engineering

Posted 5 days ago

No clicks

Compensation
Not specified PHP

Currency: PHP

City
Not specified
Country
Not specified

Implement and maintain data workflows, ETL/ELT pipelines to move and transform data across systems. Design and implement data storage solutions (databases, data warehouses, data lakes) with security and governance in mind. Build tooling, automation, and monitoring for data movement and workflows; ensure quality through testing. Collaborate with operations teams and data owners to maintain and continuously improve pipelines across target platforms.

JobOverview

  • Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified
  • 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 pipelinesinto target platforms for further consumption and integration as required by productdataowners

Key Capabilities/Experience

  • Proficiency and experience in programming languages such asPython, shell scripting
  • Expertise inETL technologiessuch as IBM DataStage or similar tooling and data integration
  • Expertise in SQL / RDBMS databases, handling of structured and unstructured data
  • Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)
  • Experience in cloud platforms and technologies (Azure, AWS, GCP)and DBT
  • Flexible and willing to learn various ETL / data integration tools and products
  • Experienced withsoftware version control technologies such as Git
  • Experience inAutomic (UC4) is a plus
  • Experience in CI / CD and Devopsis a plus

Minimum Qualifications

  • Strong problem solving and solutions engineering mindset
  • Experience in working andcoordinating remotely withinternationalteams and stakeholders
  • Experience in Agile way of working is a plus
  • Preferably a degree in the related fields of Computer Science
  • Professional proficiency in English(speech and writing)