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)