Data Engineer (ETL / Oracle Data Integrator / Data Stage Focus)

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 ownersDesign and implement identified data processes and storage such as usage of databases, data warehouses and data lakes with data security in mindBuild supporting tooling and procedures needed for data movement and monitoring activitiesImplement available automations for data movement processesEnsure delivered workflows and processes meet expected quality outputs through conducting testing Document specs and implementations of deliverables mentionedWork with operations teams for maintenance and continuous improvement of workflows and pipelines

Qualifications

Proficiency and experience in programming languages such as Python, shell scriptingExpertise in SQL / RDBMS and NoSQL databases, handling of structured and unstructured dataExtensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)Flexible and willing to learn various ETL / data integration tools and productsStrong problem solving and solutions engineering mindsetExperience in working and coordinating remotely with teams and stakeholdersExperience with data integration and ETL technologies such as IBM Data Stage and Oracle Data Integrator is a plusExperienced with software version control technologies such as GitExperience in cloud platforms and technologies (Azure, AWS, GCP) is a plusExperience in CI / CD and Devops is a plusExperience in Agile way of working is a plusPreferably a degree in the related fields of Computer Science