
11 - 50 employees
Founded 2023
₿ Crypto
🤖 Artificial Intelligence
📋 Compliance
Crypto • Artificial Intelligence • Compliance
Yirifi. ai is an AI-driven compliance and risk management company focused on digital assets and Web3. It provides crypto-tuned solutions including AI-powered risk analytics, a global regulatory compliance database, a Web3 use-case builder, and a vendor marketplace to streamline due diligence. Yirifi. ai serves institutional clients, businesses, and regulators by helping them adopt digital assets securely, monitor market exposures, and meet jurisdiction-specific regulatory requirements.
🕒 November 27, 2025
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11 - 50 employees
Founded 2023
₿ Crypto
🤖 Artificial Intelligence
📋 Compliance
Crypto • Artificial Intelligence • Compliance
Yirifi. ai is an AI-driven compliance and risk management company focused on digital assets and Web3. It provides crypto-tuned solutions including AI-powered risk analytics, a global regulatory compliance database, a Web3 use-case builder, and a vendor marketplace to streamline due diligence. Yirifi. ai serves institutional clients, businesses, and regulators by helping them adopt digital assets securely, monitor market exposures, and meet jurisdiction-specific regulatory requirements.
• Design and Build Scalable Data Pipelines • Develop scalable ETL/ELT pipelines to process and transform unstructured data into structured formats using Airflow, AWS Glue, Python, and dbt. • Ensure pipelines handle diverse data sources (e.g., JSON, XML, text, and raw logs) and support structured outputs like relational databases or parquet files. • Implement automated validation checks for data consistency, completeness, and accuracy using dbt tests, AWS Glue Data Quality, or custom Python scripts. • Build a reporting dashboard to monitor data quality metrics and pipeline health. • Enhance and maintain metadata in AWS Glue Catalog, ensuring all datasets have clear descriptions, schema definitions, and lineage tracking. • Establish monitoring mechanisms (e.g., AWS CloudWatch) to track pipeline performance and detect bottlenecks or failures proactively. • Partner with data scientists and analysts to create tailored data structures for machine learning models and analytics.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, and data parsing frameworks for unstructured data. • Proficiency in designing and implementing ETL/ELT workflows using dbt and Airflow. • Experience with SQL and relational databases to build structured data repositories. • In-depth experience with AWS services like S3, Glue, Lambda, and CloudWatch. • Strong analytical and problem-solving skills, particularly in working with unstructured data sources. • Ability to work effectively in a fast-paced, dynamic environment with competing priorities. • Excellent communication skills to partner with data scientists, analysts, and stakeholders.
• Be part of a rapidly growing company revolutionizing crypto risk and compliance. • Work with cutting-edge technologies, solve complex challenges, and drive meaningful change in the digital assets space. • Join us to accelerate your career and make a significant impact!
Apply Now🕒 October 29, 2025
Senior Data Warehouse Engineer at Binance developing scalable data warehouse solutions. Focus on data governance and technical team supporting initiatives within a global blockchain ecosystem.
🗣️🇨🇳 Chinese Required
Airflow
Apache
AWS
ElasticSearch
Hadoop
HBase
Java
Kafka
Python
Redis
Scala
Spark
SQL
Vault
Web3
Zookeeper