Data Engineer, Data Cloud

Chainalysis Inc.
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Big Data Software as a Service Cloud Computing Cloud Database Cloud Engineering Continuous Integration Information Engineering
+26 more
Data Governance Data Infrastructure Identity and Access Management Subnetting Python (Programming Language) Routing NoSQL Online Transaction Processing Cloud Services Data Streaming Systems Integration Data Processing Cloud Platform System Snowflake Apache Spark Amazon Virtual Private Cloud (VPC) Debezium Infrastructure Automation Frameworks Apache Flink Apache Kafka Spark Streaming Data Management Amazon Simple Queue Service (SQS) Terraform Data Pipelines Databricks

Requirements

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.We’re looking for Data Engineers to join our Data Cloud team. This group accelerates innovation & helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You’ll be a key player in creating and optimizing our data platform and data processing systems. If you’re passionate about infrastructure automation, cloud services, and building scalable platforms to enable next-gen real-time streaming data applications, we want you to join our talented and growing team!In this role, you’ll:Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructureImplement and maintain infrastructure automation and self-service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelinesBuild seamless integrations between Data Cloud and various relational and noSQL OLTP databasesDesign and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practicesEstablish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelinesWe’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 platformsSolid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructureExperience building streaming data pipelines using Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologiesKnowledge 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 SQLExperience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.Nice to have Experience:Exposure to or interest in the cryptocurrency technology ecosystemExperience working with different blockchain technologies is a plusExperience with a SaaS or FinTech companyTechnologies we use:AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKSData Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium #J-18808-Ljbffr

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