Senior Data Engineer

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

Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Proficiency in SQL, Python, and other programming languages relevant to data engineering.
Excellent problem- solving skills and attention to detail.
Bachelor’s or Master’s degree in Computer Science, Data, or a related field.
Experience with big data technologies such as Databricks, Hadoop and Spark.
Familiarity with data governance and security best practices.
5+ years of experience in data engineering, with a strong focus on Microsoft data analytics solutions.
Knowledge of AI/ML techniques.

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

Cập nhật gần nhất lúc: 2024-11-01 15:00:02