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ABABOUT YOU

.Staff Backend Engineer(m/w/x)

Hamburg, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Developing smart BI solutions with NodeJS and TypeScript, managing large data volumes in Google BigQuery. 5+ years building scalable APIs required. Work on high-traffic APIs, collaborate across teams.

Requirements

  • 5+ years building scalable APIs (e.g. node.js, Python, Go)
  • Practical & recent experience with typed programming language (e.g. TypeScript)
  • Solid know-how working with SQL or No-SQL databases
  • Writing well-structured, efficient, maintainable code
  • Excellent analytical and problem-solving skills
  • Working in English-speaking and agile environment
  • Raising the bar of software quality
  • Responsibility for product and driving own improvement ideas
  • Establishing standards within profession and across teams
  • Experience working with MPP data warehouse (e.g. Redshift, BigQuery)
  • Experience with centralized logging, monitoring, alerting solutions (Datadog)
  • Hands-on experience with cloud ecosystem (e.g. AWS, GCP) and integration with orchestration services (like Dagster or Airflow)
  • Experience with Elasticsearch or OpenSearch
  • Experience building Data Models using dbt
  • Experience running data processing pipelines using distributed data processing frameworks
  • Hands-on Experience with Machine Learning Models or LLM-based systems is a plus

Tasks

  • Develop smart BI solutions using NodeJS and TypeScript
  • Manage large data volumes with Google BigQuery
  • Integrate systems with Business Intelligence tools
  • Build and optimize high-traffic APIs
  • Collaborate with developers, product managers, data scientists, and analysts
  • Enhance current functionalities and launch new features
  • Contribute innovative ideas and creations
  • Draft architectural decisions with the Tech Lead
  • Explore new technologies

Work Experience

  • 5 years

Education

  • Vocational certificationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • node.js
  • Python
  • Go
  • TypeScript
  • SQL
  • No-SQL
  • Redshift
  • BigQuery
  • Datadog
  • AWS
  • GCP
  • Dagster
  • Airflow
  • Elasticsearch
  • OpenSearch
  • dbt
  • Machine Learning Models
  • LLM-based systems
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