Data engineer

Навыки

• Airflow
• ClickHouse
• Data Quality
• DuckDB
• Elasticsearch
• FastAPI
• GitHub

О компании и продукте

• We are looking for a data engineer to develop an ambitious modern dataset search engine Dateno (dateno.io). Fully remote
• Today the technology stack includes FastAPI, Airflow, MongoDB, Elasticsearch. We use Github + Discord for management.
• Our technology stack more https://stackshare.io/dateno/dateno

Задачи

• Development and maintaining of Dateno data infrastructure
• Preparing, adjusting and monitoring data pipelines
• Resolving data quality issues

Требования

• Experience with Python data stack 1+ year with real product
• Experience with building data pipelines with open source data stack
• Understating data quality management and monitoring
• Knowledge of the data observability issues and frameworks
• Experience with REST API
• Knowledge of English at the level of reading technical documentation and basic communication
• Strong technical problem solving skills
• Responsibility, ability to work independently
• Pros are
• Data engineering education: MS degree or equivalent industry experience
• Experience or willingness to work with NoSQL databases such as MongoDB and Elasticsearch
• Experience and willingness to use modern database engines stack as DuckDB, Clickhouse and e.t.c
• Portfolio - github link with example projects/modules/code/contributions to open source projects
• Love for open data and open source is a definite plus
• Conditions: Full-time, salary based on the results of the interview
• The main thing - compliance with deadlines and the desire to make the world a better place
• Company: Dateno
• Contact: @LvovaOV

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