Data Engineer
December 13
Description
• Build and maintain data platforms and data pipelines (ETL/ELT). • Design and implement data models and integrations. • Optimize databases and ensure data quality and efficiency. • Collaborate with analysts, data scientists, and other stakeholders.
Requirements
• Experience in Data Engineer roles and tools (e.g., SQL, Python, Spark). • Understanding of cloud platforms (AWS, Azure, GCP). • Experience with databases and data warehousing (e.g., PostgreSQL, Snowflake). • Good teamwork skills and enthusiasm for learning new technologies and methods.
Benefits
• Diverse Projects: Work with different companies and industries – from healthcare to finance and tech startups. • Development Opportunities: Expand your skills with the latest technologies, tools, and methods. • Flexibility: Choose to work remotely, in a hybrid model, or on-site at the client’s premises. • Long-Term Impact: Opportunities for long-term development work within our client’s internal IT team.
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