Senior Data Engineer
Saxon Global
Required Qualifications
- Bachelor's or master's degree in computer science, Data Engineering, or a related field
- 5+ years of experience as a Data Engineer building large-scale data solutions
- Proficiency in Python, SQL, and scripting languages (Bash, PowerShell)
- Deep understanding of big data tools and ETL processes
- Hadoop
- Spark
- Hands-on experience with cloud platforms and data services
- AWS S3
- Azure Data Lake
- Google BigQuery
- Snowflake
- Strong knowledge of database systems
- SQL and NoSQL databases
- Database design and query optimization
- Experience designing and managing data warehouses for performance and scalability
- Proficiency in software engineering best practices
- Version control (Git)
- CI/CD pipelines
- Unit testing
- Strong experience in software architecture, design patterns, and code optimization
- Expertise in Python-based data pipelines and ETL frameworks
- Experience with Azure Data Services and Databricks
- Excellent problem-solving, analytical, and communication skills
- Experience working in Agile environments and collaborating with diverse teams
Vacancy posted 3 days ago
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