Chainalysis - Data Engineer, Data Cloud
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Requirements
• Exposure to or interest in the cryptocurrency technology ecosystem • Experience working with different blockchain technologies is a plus • Experience with a SaaS or FinTech company • Technologies we use: • AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS • Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium • Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. • You belong here. • You belong here.
Responsibilities
• Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructure • Implement and maintain infrastructure automation and self-service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelines • Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases • Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices • Establish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelines • We’re looking for candidates who have: • 3+ years of experience as a Data Platform Engineer or Software Engineer or Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms • Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure • Experience building streaming data pipelines using Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies • Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL • Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.
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