Specialist, Data Engineer

Data Pipeline Engineering 

• Design, build, and optimize scalable data pipelines workflows 

• Ensure efficient and reliable data ingestion from multiple structured and unstructured sources 

Data Architecture & Modeling 

• Collaborate with architects to design and maintain robust, scalable data architectures 

• Apply data modeling techniques (dimensional, normalized, star schema) to support analytics 

Database & Platform Management 

• Manage and optimize relational and non-relational databases 

• Ensure high performance, scalability, and reliability of data storage systems 

Data Processing & Transformation 

• Develop data transformation logic to prepare high-quality datasets for analytics and reporting 

• Validate and ensure data accuracy, consistency, and completeness 

Collaboration & Enablement 

• Partner with data analysts, data scientists, and business stakeholders to understand data needs 

• Enable data-driven initiatives by delivering clean, well-structured datasets 

Monitoring & Support 

• Monitor pipelines and data systems for performance, availability, and reliability 

• Troubleshoot and resolve data issues proactively 

Documentation & Governance 

• Maintain clear documentation of data pipelines, models, and workflows 

• Ensure adherence to data governance, security, and privacy standards 

Required Qualifications 

Education 

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field