Cloud Data Engineer

AlphaPoint • Full-time • Remote (Remote) • 3h ago

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

You

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

Additional Preferred Qualifications

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

Benefits

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

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