Data Engineer

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka. This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure   ✅ Responsibilities: 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. ✅ Requirements: Proficiency in Python, SQL, and experience with data manipulation and transformation; 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.