Role Locations
- Remote
- Silicon Valley, CA, United States
Employees
Address
Tech Stack
- AWS
- Docker
- Kubernetes
- Python
- SQL
- Kafka
- Spark
- Terraform
- React
- Go
Role Description
We are looking for a data infrastructure and database engineer. This is a core position that will require end-to-end ownership of a significant portion of Lightup's system. Responsibilities will include designing, architecting, implementing, testing and supporting Lightup's data, ETL and ML data platform. This position will give you exposure to cutting edge data technologies including databases, data warehouses, data lakes as well as streaming data connectors. You'll work closely with our talented team of data scientists and engineers as well as with our product and business team as we scale our product across many companies.
Lightup supports multiple deployment options based on customer's data security requirements. Experience with cloud provider infrastructures such as AWS, GCP and/or Azure as well as experience with Kubernetes and Terraform would be preferred.
You have: An MS with 3+ years experience or BS with 5+ years experience in Computer Science and/or Electrical Engineering. Worked with databases, data warehouses and data lakes such as Snowflake, BigQuery, Redshift, Databricks, Hive, Oracle Knowledge of data processing systems like Flink, Spark, DBT, etc. Good understanding data organization and data schemas - SQL, JSON, Avro, etc. Experience building and testing large scale systems using secure software principles Worked on cloud services as well as enterprise deployments including knowledge of kubernetes
Non-technical Ability to prototype quickly, basic understanding of UI/UX principles Ability to prioritize and thrive in a fast-paced, fluid environment Enthusiasm to learn new concepts Ability to work with ambiguous or unclear definition Self driven
About Lightup Data Inc.
Lightup is building a radically new data quality and observability platform.
Data has been going through a massive transformation but teams are slowed by unreliable and unusable data. We've enabled our users to trust their data and accelerate how quickly they can move their data driven businesses forward. Join our team and build out our path breaking streaming data quality platform - state of the art anomaly detection algorithms and scalable data pipelines.
Be an integral part of the data revolution's new architecture ...
Company Culture
Here are what we value as a company - Customers first - Transparency - Honesty - bidirectional feedback - Bias for action - results matter - Have fun while getting stuff done
Address
Tech Stack
- AWS
- Docker
- Kubernetes
- Python
- SQL
- Kafka
- Spark
- Terraform
- React
- Go
Skip straight to final-round interviews by applying through Triplebyte.