Python developer (вакансія неактивна)

Required skills:

• 5+ years of experience with modern Python (modern frameworks)
• Experience with modern database architecture and management techniques (PostgresDB, mongoDB, BigQuery)
• Strong experience with Docker and containerization
• Used to working in a fast-paced, agile environment
• Networking skills (TCP/UDP, IP, proxy, VPN, etc.)
• Knowledge authorization, authentication , JWT, Oauth
• Version control and continuous integration tools (Github CI, Jenkins, Travis CI, etc.)
• Experience building services that leverage cloud-based infrastructure (GCP, AWS, etc.)
• Good understanding of Linux

Will be a plus:

• Experience with modern JavaScript & one JavaScript framework (Vue.js, React.js, Angular, etc.)
• Experience with Gradle

Propose:

• Become a known Airbyte contributor with us!
• Working in high efficient team
• Automated development environment, use and participate in it!
• Professional growth
• Airbyte is outperforming in terms of community ORK: subscriptions, new users, contributors. Airbyte is the most growing Slack community
• Develop high reliable technical solution that exposed to other platform contributors and aimed to become a benchmark in connectors development
• Leadership and mentorship program

Duties:

• Building connectors for data sources and destinations is a critical part of what will make Airbyte successful. Some of the things you’ll focus on building are connectors like:
• Python will be mostly focused on APIs and frameworks for building APIs ○ REST APIs, SOAP, GraphQl, etc...
• Building abstractions and frameworks to increase leverage in developing connectors
• Building & maintaining test frameworks to ensure high quality & performance

Our goals:

• Work with us to make Airbyte to become a 1st number ETL platform in the world. Now we are in the top 3
• We will achieve it by creating night numbers of connectors. No Airbyte has 70, goal is to have 200 connectors at the end of the year.
  
  
  About the project
  Open-source data integration platform that gives your infrastructure superpowers to move data seamlessly. The main responcibility is to building connectors for data sources and destinations is a critical part of what will make project successful.
  
  Data sources and destinations like:
  Relational databases: OracleDB, MSSQL, MySQL, and others
  Data Lakes: S3, GCS, Azure Blob storage, DataBricks
  Warehousess: BigQuery, Snowflake, Clickhouse
  Queues: Kafka, Google Pubsub, Amazon Kinesis, Amazon SQS
  
  Working knowledge of English required
  
  Proactive communication: if requirements are not clear or you need support from the team, you speak up quickly so no time is wasted.
  
  Built for extensibility: Adapt an existing connector to your needs or build a new one with ease.
  
  Optionally normalized schemas: Entirely customizable, start with raw data or from some suggestion of normalized data.
  
  Full-grade scheduler: Automate your replications with the frequency you need.
  
  Real-time monitoring: We log all errors in full detail to help you understand.
  
  Incremental updates: Automated replications are based on incremental updates to reduce your data transfer costs.
  
  Manual full refresh: Sometimes, you need to re-sync all your data to start again.
  
  Debugging autonomy: Modify and debug pipelines as you see fit, without waiting.