Data Engineer

Qualifications:

• Data Pipeline Development: Expertise in designing, developing, and maintaining scalable data pipelines (ingestion, transformation, storage).
• ETL/ELT Management: Proficiency in building and managing ETL/ELT workflows from multiple internal and external systems.
• Data Architecture: Experience with data warehouses, data lakes, and hybrid storage solutions.
• Data Quality Assurance: Ability to implement data quality checks, validations, and monitoring mechanisms to ensure data accuracy and consistency.
• Security & Governance: Knowledge of implementing solutions compliant with data governance, security, and privacy policies, including access controls and data masking.
• Automation & Documentation: Skilled in automating data processing and creating documentation (data flow diagrams, data dictionaries, operational procedures).
• Collaboration: Ability to collaborate with data scientists, analysts, and architects to d...