Data Engineering Innovator at Sifflet

il y a 3 jours


Paris, Île-de-France Sifflet Temps plein

We are building the world's best data observability platform to help companies excel at data-driven decision making. Our solution allows data engineers and data consumers to visualize how data flows between their services, define data quality checks, and quickly find the root cause of any data anomaly.

About Us

Sifflet connects to many different data sources: data warehouses (Google BigQuery, Snowflake, AWS Redshift...), for each of these data sources, we need to support all Sifflet features (catalog, lineage, monitoring...). As each integration requires deep knowledge about the API, data model, and behavior of each data source, Sifflet has a team dedicated to building these integrations.

Job Description

We're looking for a skilled Data Engineering Innovator to join our team in Paris or remotely. You'll design and implement new integrations with data products, research how each data source behaves, and think hard about how to model it within the Sifflet platform.

Key Responsibilities:
  • Design and implement new integrations with data products
  • Research how each data source behaves and model it within the Sifflet platform
  • Make necessary changes to architecture and implementation to scale our data ingestion engine
  • Extend our SQL parser to support field lineage for a given SQL dialect
  • Add catalog support for a vector database
Requirements

To be successful in this role, you'll have:

  • General knowledge around some of these topics: data warehouses, data visualization solutions, ETL pipelines...
  • Willingness to learn Java and Spring Boot if you don't already know this ecosystem
  • Strong programming skills in applications written in modern Java, Python, and Typescript + VueJS
  • Familiarity with Kubernetes (AWS EKS clusters) and MySQL (on AWS RDS)
What We Offer

We offer a competitive salary of €90,000 - €110,000 per year, company equity, and a remote-friendly work environment. If you're passionate about data engineering and want to be part of a cutting-edge platform, apply now



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