Data Engineer - AWS

June 7

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Tiger Analytics

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AI & Analytics for today’s business challenges.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000

Description

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure • Implement data processing and transformation workflows • Build and maintain orchestration workflows using Apache Airflow • Collaborate with cross-functional teams to deliver scalable data solutions • Optimize data pipelines for performance, reliability, and cost-effectiveness

Requirements

• 8+ years of experience building and deploying large-scale data processing pipelines • Strong proficiency in AWS services • Hands-on experience with Databricks and Apache Spark • Solid understanding of data modeling and SQL • Experience with version control systems and CI/CD pipelines • Excellent communication and collaboration skills • Strong problem-solving skills and attention to detail

Benefits

• Excellent opportunity for significant career development • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility