Data Engineer

Ernyka Holding is a dynamic ecosystem in the world of financial technologies (FinTech). At Ernyka, we are hiring a Data Engineer to join us in overcoming challenges and creating new value together.

 Responsibilities:

• Design, implement, and maintain scalable data pipelines using Python and Airflow
• Develop and optimize real-time and batch data workflows leveraging Kafka and ClickHouse
• Integrate And various data sources, including MSSQL and SSIS, into modern data architecture
• Monitor and troubleshoot data processes to ensure high availability and reliability
• Collaborate with analytics, product, and engineering teams to support data needs and insights
• Maintain data quality and governance standards across systems

 Qualifications:

• Strong proficiency in Python for data engineering tasks
• Hands-on experience with Apache Kafka and streaming data processing
• Proficient in ClickHouse for high-performance OLAP use cases
• Experience with Apache Airflow for orchestrating data workflows
• Solid understanding and experience in MSSQL, including T-SQL and performance tuning
• Background in SSIS package development and ETL processes
• Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker) is a plus
• Excellent problem-solving and communication skills