[Hiring] Data Engineer @ING

Role Description

Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified data.

• 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 workflows and pipelines into target platforms for further consumption and integration as required by product data owners.

Qualifications

• Proficiency and experience in programming languages such as Python, shell scripting.
• Expertise in ETL technologies such 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 with software version control technologies such as Git.
• Experience in Automic (UC4) is a plus.
• Experience in CI / CD and DevOps is a plus.

Requirements

• Strong problem solving and solutions engineering mindset.
• Experience in working and coordinating remotely with international teams 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).