Data Engineer
1 week ago
Data Engineer (Snowflake, ClickHouse)
Join our IT Startup and support our team in a fast-paced, professional environment
High-load in-house platform handling multiple third-party integrations, data collection, and comprehensive reporting systems. The system processes large volumes of real-time data and requires high availability with performance optimization.Key Responsibilities:
Design and maintain scalable ETL/ELT pipelines
Handle CDC ingestion from Amazon RDS (MySQL) via Debezium + Kafka
Load and optimize high-throughput data flows into ClickHouse and Snowflake
Tune ingestion in ClickHouse: partitioning, TTLs, ORDER BY keys
Use Parquet/ORC and partitioning for efficient storage in S3
Integrate datasets into Power BI
Implement monitoring and alerting for data pipelines
Use Git + CI/CD and manage infrastructure with Terraform or AWS CDK
Requirements:
Proven experience building high-throughput data ingestion pipelines
Proficiency with Kafka/MSK and Debezium
Strong knowledge of AWS Glue, S3
Experience with ClickHouse and Snowflake for analytics
Python, SQL, Git, CI/CD
Infrastructure-as-Code: Terraform or AWS CDK
Stack: AWS Glue, S3, Airflow/Dagster, Kafka/MSK, Debezium, MySQL (RDS), ClickHouse, Snowflake, Power BI, Terraform/CDK, Git, Python, SQL
Nice to have:
Design and maintain scalable ETL/ELT pipelines using AWS Glue, Airflow, and S3
Experience with dbt
Familiarity with MySQL binlog-based CDC
Power BI reporting knowledge
Experience monitoring and tuning ClickHouse clusters
Benefits:
24 working days of paid annual leave
6 days of paid sick leave
Official employment
Medical insurance
Coffee zone with fruit & snacks available in the office
Corporate Lunch provided by the company
Gym and sports classes
Healthy and friendly work atmosphere
Join us and be one of the Core Stars
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