The ad says“Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)”
The ad says“Experience with containerization and other modern software development workflows”
The ad says“Deep knowledge of data quality, data profiling and cleansing techniques”
The ad says“Build features to tune processing pipeline for fast data ingestion and indexing depending on customer’s needs and workloads”
The ad says“Build features to tune processing pipeline for fast data ingestion and indexing depending on customer’s needs and workloads”
The ad says“Deep knowledge of data quality, data profiling and cleansing techniques”
The ad says“Deep knowledge of data quality, data profiling and cleansing techniques”
The ad says“Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)”
The ad says“Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)”
The ad says“Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)”
The ad says“Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)”
The ad says“Expertise with Kubernetes”
The ad says“Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)”
The ad says“Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)”
The ad says“Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)”
This role will work across the entire data lifecycle (collection, ingestion, storage, querying, retrieval) and work directly with all business units across the company to design and develop both external and internal products
Handling massive volumes of data for Applied Intuition’s platform needs is a critical area and we are looking for someone who can be hands-on in supporting our data products and verticals across the company
At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture
You’ll scale infrastructure to support all deployment types (cloud, hybrid, on-prem) and across regions
Be involved in the end to end data lifecycle, from the external-facing product to the underlying platform and infrastructure for it
Build features to tune processing pipeline for fast data ingestion and indexing depending on customer’s needs and workloads
Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks
Develop and deploy high-quality software using modern tooling and frameworks, especially open-source technologies
Preferred experience
3+ years of professional experience
We are looking for infrastructure engineers with expertise in scaling open-source data infrastructure to join the Data & ML infra group
Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
A Bachelor’s degree in Computer Science, Software Engineering, or equivalent
Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)
Experience with containerization and other modern software development workflows
Experience with enterprise software, including on-prem and/or cloud environments
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)
Expertise with Kubernetes
Deep knowledge of data quality, data profiling and cleansing techniques
Experience with other open-source data technologies not listed above