5 дней назад
Data Engineer
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Engineer (Airflow/dbt/ClickHouse): Building production-ready data marts and supporting an event-sourcing-based data enrichment solution with an accent on data quality, pipeline reliability, and performance optimization. Focus on developing Airflow DAGs, dbt models, ClickHouse Materialized Views, and Kafka integrations while establishing production-grade Data Engineering practices.
#Data Engineer #vacancy
We are looking for a Data Engineer
🌎 Remote.
Responsibilities:
• Support and develop our in-house data enrichment solution built on event sourcing;
• Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views;
• Implement data quality checks for Airflow DAGs and ClickHouse MVs;
• Automate repetitive tasks and establish Data Engineering best practices and standards;
• Write and maintain technical documentation.
Requirements:
• 3+ years of experience in data engineering;
• Strong SQL: complex analytical queries and query optimization;
• Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark);
• Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD);
• Hands-on experience with Airflow (building and maintaining DAGs);
• Experience with dbt (models, tests, macros);
• ClickHouse: table engines, Materialized Views, performance tuning;
• Kafka: producers/consumers, topics and partitioning, delivery guarantees;
• Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda);
• Solution-oriented mindset and ownership of results.
We offer:
• High salary (plus performance bonuses and salary revision);
• Remote work;
• Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;
• 24 days holiday leave;
• Corporate English lessons;
• Exciting work challenges that allow you to grow to your full potential;
• A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
📩
We are looking for a Data Engineer
🌎 Remote.
Responsibilities:
• Support and develop our in-house data enrichment solution built on event sourcing;
• Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views;
• Implement data quality checks for Airflow DAGs and ClickHouse MVs;
• Automate repetitive tasks and establish Data Engineering best practices and standards;
• Write and maintain technical documentation.
Requirements:
• 3+ years of experience in data engineering;
• Strong SQL: complex analytical queries and query optimization;
• Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark);
• Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD);
• Hands-on experience with Airflow (building and maintaining DAGs);
• Experience with dbt (models, tests, macros);
• ClickHouse: table engines, Materialized Views, performance tuning;
• Kafka: producers/consumers, topics and partitioning, delivery guarantees;
• Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda);
• Solution-oriented mindset and ownership of results.
We offer:
• High salary (plus performance bonuses and salary revision);
• Remote work;
• Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;
• 24 days holiday leave;
• Corporate English lessons;
• Exciting work challenges that allow you to grow to your full potential;
• A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
📩
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