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We are looking for a team player with experience in:

• Data warehouse and data modelling techniques
• Experience in designing, building, and maintaining complex data pipelines using Airflow 
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing 
• Proficiency in programming languages such as Python, SQL, and experience with data manipulation and transformation

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The responsibilities and duties of the Senior Data Engineer include, but are not limited to:

• Develop and implement data models to support business requirements, optimizing for performance and scalability Design, build, and maintain scalable data pipelines using Apache Airflow 
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems
• Integration to third party databases and APIs
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements

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✔️ Learning and development opportunities and interesting challenging tasks;

✔️ Company fitness corner in the office for employees;

✔️ Birthday celebration present;

✔️ Time for proper rest and 24 working days of Annual Vacation;

✔️ Breakfasts and lunches in the office (partially paid by the company).

✔️ Private Medical insurance

✔️ Competitive remuneration package