Senior Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
• Implement and optimize data storage solutions using Microsoft Fabric, Azure Synapse, Azure Data Factory, and other Microsoft data services.
• Develop and maintain data models, databases, and data warehouses to ensure data accuracy and availability.
• Ensure data quality and integrity through rigorous testing and validation procedures.
• Stay updated with the latest trends and best practices in data engineering and analytics.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data, or a related field.
• 5+ years of experience in data engineering, with a strong focus on Microsoft data analytics solutions.
• Proficiency in SQL, Python, and other programming languages relevant to data engineering.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience with big data technologies such as Databricks, Hadoop and Spark.
• Knowledge of AI/ML techniques.
• Familiarity with data governance and security best practices.

Quyền lợi

• Competitive salary and performance-based bonuses.
• Stock sign-on bonuses.
• The chance to work with cutting-edge technologies and make a real impact.