Data Engineer

Implement and maintain data workflows, ETL / ELT processes, and pipelines, especially with more focus for machine learning related systemsWork with colleagues such as Data Scientists, Machine Learning Engineers, software engineers, and architects on implementing solutions involving distributed systems, cloud native technologies and machine learning methodologiesCreate highly available and scalable capabilities that deliver data related tooling and manage data platforms for stakeholders

Qualifications: 

Proficiency and experience in programming languages such as Python, GolangExpertise in SQL / RDBMS and NoSQL databasesExtensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)Experience in cloud platforms and technologies (Azure, AWS, GCP). Familiarity with Azure Synapse Analytics is a plusPreferably a degree in the related fields of Computer ScienceStrong problem solving and solutions engineering mindsetExperience in CI / CD and DevopsExperience in working and coordinating remotely

The ING Group is a global financial institution of Dutch origin which actively offers banking, insurance, retirement and investment services.  ING Commercial Banking serves its customer base – large corporations, organisations and governments – via an international branch network in more than 40 countries.  ING Bank Philippines is one of the most successful international houses in the country - Best Fixed Income House by FMAP for 10 consecutive years and Best M & A House by The Asset for 3 consecutive years.  The ING Business Shared Services B.V. Branch Office (IBSS) is a young organization that works with our international stakeholders to optimize our delivery of banking and financial services.  With a focus on banking operations, we endeavor to build a global shared services company powered by the dynamic Filipino talent.