Paxos
Paxos is a blockchain infrastructure platform providing enterprises with solutions for building stablecoins and digital assets. It offers regulated and fully-backed digital assets, with a commitment to compliance and transparency, trusted by leading global companies. Paxos is known for its innovative approach to stablecoins, including partnerships with prominent financial institutions which enhance digital payment capabilities and foster decentralized finance initiatives.
Blockchain Solutions • Blockchain Technology • Blockchain Settlement • Financial Technology • Post-Trade
Data Engineer
March 15
Airflow
Amazon Redshift
Assembly
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Kafka
Kubernetes
Postgres
Python
SQL
Terraform
Paxos
Paxos is a blockchain infrastructure platform providing enterprises with solutions for building stablecoins and digital assets. It offers regulated and fully-backed digital assets, with a commitment to compliance and transparency, trusted by leading global companies. Paxos is known for its innovative approach to stablecoins, including partnerships with prominent financial institutions which enhance digital payment capabilities and foster decentralized finance initiatives.
Blockchain Solutions • Blockchain Technology • Blockchain Settlement • Financial Technology • Post-Trade
📋 Description
• Helping scale and optimize data platform • Ensuring efficient data management, enforcing governance policies, and driving automation across cloud infrastructure • Managing and scaling Snowflake environment, implementing role-based access controls (RBAC), leveraging AWS services and Infrastructure as Code (IaC) • Collaborating across engineering, security, and analytics teams
🎯 Requirements
• 3+ years of experience in data engineering • Familiarity with AWS services, including EKS/Kubernetes, MSK/Kafka, RDS/Postgres, Lambda, Glue, and S3, along with security best practices (IAM, KMS, ASM) • Proficient in Terraform to manage AWS and Snowflake resources • Hands-on experience with Snowflake, Redshift, BigQuery, or Azure Data Warehouse, including account management, RBAC, data governance & security, and warehouse optimization • Strong skills in query optimization and performance tuning within cloud-based data warehouses • Proficiency in Python (or similar) for automation, data pipeline development, and workflow orchestration • Experience with Dagster, Airflow, AWS Step Functions, or Azure Data Factory to manage data workflows • Experience in building and maintaining scalable, reliable data pipelines • Understanding of security, governance, and compliance best practices for handling sensitive data • Experience with tools like DBT, Airbyte, Debezium, Dagster, Acryl, Monte Carlo, and Looker to enhance data reliability and observability
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