AI Data Engineer

Job Title: Data Engineer

Location:

Company:

Position Summary

Key Responsibilities

• Design, develop, and maintain end-to-end data pipelines using Talend, Azure Data Factory, and other ETL frameworks.
• Build and optimize data lake solutions on Azure Data Lake Storage.
• Collaborate with data architect, and AI teams to ensure data quality, lineage, and integrity across systems.
• Integrate data from multiple sources and unified models for analytics and ML pipelines.
• Ensure secure, compliant, and performant handling of structured and unstructured data.
• Monitor and troubleshoot pipelines, ensuring high availability and reliability.
• Collaborate with cross-functional teams to support business use cases.
  

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering, big data, or software development.
• Strong experience with Azure data services (Data Factory, Data Lake).
• Hands-on expertise in Talend Data Integration or similar ETL tools.
• Proficiency in SQL, Python, and PySpark.
• Experience working with large-scale datasets, performance tuning, and batch/streaming jobs.
• Understanding of data governance, access control, and cloud security best practices.
  

Job Title: Data Engineer

Location:

Company:

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering, big data, or software development.
• Strong experience with Azure data services (Data Factory, Data Lake).
• Hands-on expertise in Talend Data Integration or similar ETL tools.
• Proficiency in SQL, Python, and PySpark.
• Experience working with large-scale datasets, performance tuning, and batch/streaming jobs.
• Understanding of data governance, access control, and cloud security best practices.