Senior Data Engineer

Senior Data Engineer
The Senior Data Engineer in our company is responsible for designing, developing, and maintaining data infrastructure that plays a key role in the organization’s strategic decision-making. This position requires a deep technical knowledge, a structured problem-solving approach, the ability to collaborate across teams, and a focus on data quality and system architecture.

The main goal of this role is to build a reliable, scalable, and up-to-date data ecosystem that provides a solid foundation for analysis, reporting, and data-driven growth within the organization.

Key Responsibilities:

• Design and develop data pipelines.

• Implement data transfer and processing systems with Apache Airflow and Kafka.

• Build pipelines that are scalable, easy to monitor, and maintain.

• Construct advanced data architecture.

• Develop a structured and data-driven Data Warehouse based on data architecture principles.

• Define optimized data models to improve data storage and retrieval performance.

• Manage data quality.

• Continuously monitor the accuracy, consistency, and freshness of data.

• Design automated processes to identify and correct defective or inconsistent data.

• Collaborate across teams to create reliable data infrastructure.

• Work with product, analysis, and technical teams to understand data needs.

• Provide structured data for use in analysis, dashboarding, and decision-making projects.

Required Skills and Qualifications:

Technical Knowledge:

• Proficiency in Python and data processing tools.

• Practical experience with Apache Airflow for pipeline orchestration.

• Familiarity with Kafka for real-time data transfer.

• Expertise in working with PostgreSQL and ClickHouse.

• Strong understanding of Data Architecture and Data Modeling concepts.

• Knowledge of Data Quality principles and data monitoring.

Infrastructure and DevOps:

• Familiarity with Docker and CI/CD principles for implementing modern, stable structures.

Personal and Interpersonal Skills:

• High attention to detail.

• Ability to solve problems in complex and dynamic environments.

• Strong communication skills and ability to collaborate effectively with various teams.

Required Experience and Background:

• At least 1 year of relevant work experience in Data Engineering or software development.

• Experience designing and implementing data pipelines in real-world projects.

• Experience in cross-team collaboration on data-driven projects.

• Experience working with technology or product teams is a plus.