Data Engineer

Company: BGStaff

☑️Key Tasks -Design, develop, and maintain ETL/ELT pipelines using Snowflake and SQL -Manage cloud infrastructure on AWS (S3, Glue, Lambda, CloudWatch, IAM) -Write clean and maintainable code in Python -Automate infrastructure deployment and configuration using Terraform -Orchestrate workflows using Apache Airflow -Monitor and troubleshoot pipeline issues, ensure data quality and system performance -Collaborate with data scientists, analysts, and developers to build scalable solutions

☑️Mandatory Requirements -5+ years of commercial experience in Data Engineering or related fields -Deep knowledge of Snowflake and advanced SQL proficiency -Hands-on experience with AWS (S3, Glue, Lambda, CloudWatch, IAM) -Proficient in Python for data processing and automation -Practical experience with Terraform (Infrastructure as Code) -Experience working with Apache Airflow for pipeline orchestration -Excellent communication skills and English language proficiency at C1 level -Ability to work independently in a distributed team

☑️Will be a plus -Experience with REST API integration and development -Knowledge of CircleCI or other CI/CD tools -Experience working in fully remote international teams -Understanding of data governance and security principles Location: Remote (preferably outside of Russia and Belarus, ideally Latin America or Canada) Work Schedule: US Eastern Time (EST) until 5:00 PM, aligned with the US working calendar. English Language Level: C1 (Advanced Professional)

Contacts: recruiter contact