[Hiring] Senior Backend Engineer - Integration @Sifflet

Role Description

Sifflet connects to many different data sources: data warehouses (Google BigQuery, Snowflake, AWS Redshift…), business intelligence visualisation solutions (Looker, PowerBI, AWS QuickSight…), transformation/ETL tools (dbt, Fivetran, Airflow…). For each of these data sources, we need to support all Sifflet features (catalog, lineage, monitoring…).

As a member of the integration team, you will:

• Design and implement new integrations with data products, requiring research on data source behavior and modeling within the Sifflet platform.
• Make necessary changes to architecture and implementation to scale our data ingestion engine for large customer instances.
• Add support for completely new integration types, defining how they will be displayed and integrated within the Sifflet application.
• Lead technical improvements to our codebase and architecture, addressing challenges regarding modularization, testability, and reliability.
• Help improve team standards and processes around technical decisions and product design.

Some projects you could be working on:

• Build a new model for our lineage capabilities, merging data from various sources into an easy-to-query model for automated capabilities and UI elements.
• Optimize queries issued by our ingestion engine to reduce costs incurred by customers when monitoring their data sources with Sifflet.
• Fetch query history from all sources for use in automated root cause analysis.

Qualifications

• Experience with data integration and API knowledge.
• Proficiency in Java and familiarity with Spring Boot.
• Understanding of data warehousing and ETL processes.
• Ability to work with modern data ecosystems and tools.

Requirements

• Strong problem-solving skills and attention to detail.
• Experience with Kubernetes and cloud infrastructure (AWS).
• Familiarity with MySQL and job orchestration tools.
• Ability to write code in Typescript, Vue.js, or Python as needed.

Benefits

• Opportunity to work with cutting-edge data technologies.
• Collaborative and innovative team environment.
• Professional development and growth opportunities.