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Senior Data Engineer
2 weeks ago
- Design and develop robust data pipelines and ETL processes
- Support data migration from traditional systems (Oracle, Vertica) to modern cloud platforms (Snowflake, AWS)
- Build and maintain scalable data ingestion and transformation frameworks
- Optimize and tune data queries for performance and efficiency
- Implement and manage cloud-based data solutions (Snowflake, AWS, Azure)
- Work closely with architects and senior engineers on solution design
- Participate in Agile development practices (Scrum/Kanban)
- Conduct unit testing, troubleshoot issues, and ensure data quality
- Document data models, processes, and best practices
Technical Skills:
- Cloud Platforms: AWS (preferred), Snowflake, Azure (nice to have)
- Databases: Oracle, SQL Server, Vertica, MongoDB
- Languages: Python, SQL, Shell scripting (Java is a plus)
- Tools: Spark (preferred), Tableau, Jenkins, Git, Docker (basic understanding)
- Frameworks: Familiarity with REST APIs and microservices architecture
- Data Skills: Data modeling, ETL, Data Migration, Data Quality
- Agile Methodologies: Experience working in Scrum/Kanban teams
*Mandatory Competencies*
Cloud - Cloud - Snowflake
Beh - Communication
Database - Sql Server - SQL Packages