The Cloud Data Engineer will build scalable infrastructure for batch and real-time workloads, develop ETL data pipelines, and integrate with legacy systems.
About Us
AlphaPoint’s AI Labs’ team of engineers and AI scientists is solving complex business problems by bridging the gap between transformative breakthroughs in AI technology and increasingly competitive markets.
Our team is developing and applying the latest generative AI, data and knowledge modeling technologies to large scale problems, right at the edge of what is possible.
AlphaPoint is a financial technology company powering digital asset exchanges and brokerages worldwide.
The Role- Build a scalable and highly performant infrastructure to process batch and real-time workloads
- Work with the AI engineering team and external engineering teams to monitor and extract data from a vast array of data sources
- Implement ETL data pipelines
- Architect backend data solutions to support various microservices
- Develop third-party integrations with large-scale legacy systems
- Bachelor’s degree in computer science or similar discipline
- 7-10 years experience in software development
- Proficient in Python, Node.js, and/or Java
- Familiarity with the basic principles of distributed computing and data modeling
- Experience building ETL pipelines using Apache Airflow and Spark, Databricks, or other pipeline orchestration tools
- Experience with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or CosmosDB
- Experience with real-time stream processing systems like Kafka, AWS Kinesis, GCP Data Flow
- Experience with Redis, Elasticsearch, Solr
- Experience with messaging systems like RabbitMQ, AWS SQS, GCP Cloud Tasks
- Ability to find creative ways to harvest data in unstructured formats by scraping, modeling, and ingesting data into semantic databases and graphs
- Familiarity with Delta Lake and Parquet files
- Familiarity with one or more cloud providers: AWS, GCP, or Azure
- Proficiency with Test Driven Development (TDD)
- Proficiency with Git using services such as Github or Bitbucket
- Experience in a production environment with large-scale knowledge systems.
- Great written and verbal communication skills
- Team player hungry to learn from and teach fellow team members
- 100% Remote Work Environment
- Competitive compensation
- Equity or stock options (if applicable)
- A culture of autonomy, experimentation, and learning
- Opportunity to make a real impact on company trajectory
Top Skills
Apache Airflow
AWS
Aws Kinesis
Aws Sqs
Azure
Cassandra
Cosmosdb
Databricks
DynamoDB
Elasticsearch
GCP
Gcp Cloud Tasks
Gcp Data Flow
Git
Java
Kafka
MongoDB
Node.js
Python
RabbitMQ
Redis
Solr
Spark
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