Data Engineer (DataStage)

Job Overview 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 workflows and pipelines into target platforms for further consumption and integration as required by product data owners Key Capabilities/Experience 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

Minimum Qualifications

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) Apply To This Job