Data Engineer

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Description

• Develop and manage secure and compliant data processing pipelines using various tools and techniques.
• Resolve unexpected problems efficiently and minimize data loss and ensure data integrity.
• Ensure data pipelines and storage systems are efficient, well-organized, reliable, and meet business requirements.
• Design, implement, monitor, and optimize data platforms to support pipeline needs.

Qualification

• Bachelor’s degree in engineering, science, business, or a related field
• Over 3 years of hands-on experience in data engineering, ETL/ELT development, or data ingestion roles.
• Strong experience with Databricks, CosmosDB, and familiarity with Azure Data Lake Storage, Azure KeyVault (or equivalents on GCP/AWS), and secure data ingestion practices.
• Excellent team collaboration, prioritization, adaptability, and communication skills in English.