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Job Role: Cloud Data Engineer
Job Role Experience (in years) 5-7
Build cloud infrastructure that enables deploying machine learning models over billions of historical data points.
Develop data pipelines powered by Apache Spark and other modern big data processing systems.
Develop a data backend comprising transactional, analytical and NoSQL databases. Maintain a data lake that supports fast and reliable analytics of terabytes of data.
Monitor the performance of machine learning models and data pipelines, ensuring the integrity of incoming data feeds.
Build orchestration tooling necessary to coordinate data pipelines and find opportunities to unify our infrastructure.
Work extensively on our data infrastructure, including data streaming, data integration, and internal tooling for data warehouses across GCP BigQuery, AWS Redshift and Snowflake.
Our backend stack includes Python, Airflow, dbt, Spark, Django and Terraform with Kubernetes.
5+ years work experience in Data Engineering at scale and in production, supporting the use cases listed above.
Strong demonstrated ability to lead systems design while working well with a team.
Strong ownership of your work with a focus on shipping.
Fluent in English for work in software development and engineering
Python programming skills (could be Scala too)
* Data Pipelines
* Data Streaming
* NoSQL databases (preferably Cassandra)
* Working with AWS or GCP.
* Devops tools: Terraform, CI/CD process.
* Monitoring and orchestration
* Cloud Oriented
Remote work and at the end of the pandemic is on-site.
Salary open to negotiating.
Benefits of law and superiors.