Data Engineer
23 hours ago
Description
• Create end-to-end ETL workflows using Apache Airflow. • Establish best practices for organizing data within S3 buckets. • Provide access controls and permissions management on S3 buckets and Athena tables. • Collaborate with cross-functional teams. • Document data storage architectures, ETL pipelines, and query optimization techniques.
Requirements
• Proven experience working as a data engineer with a focus on AWS services. • Strong proficiency in building data pipelines using Apache Airflow. • Expertise in AWS services such as S3, Athena, Glue, IAM roles, Redshift. • Solid understanding of ETL processes and data modeling concepts. • Proficiency in SQL and experience working with large datasets. • Familiarity with version control systems (e.g., Git) and CI/CD pipelines. • Experience with Terraform. • Excellent problem-solving and troubleshooting skills. • Understanding of MLOps will be a plus. • Experience with Kafka and DBT will be a plus. • Level of English: Intermediate/Upper-Intermediate.
Benefits
• N/A
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