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Staff Data Engineer

📅 Nov 26, 2025
Data EngineeringData PipelinesData ArchitectureApache Airflow

📜 Description

  • Design and build large-scale, distributed data systems and pipelines.
  • Develop data pipelines and optimize data storage and retrieval processes.
  • Ensure the reliability and scalability of data architecture.
  • Collaborate with cross-functional teams to understand data requirements.
  • Implement software engineering best practices for data systems.

🛠️ Requirements

  • BSc in Computer Science or related discipline.
  • 7+ years experience designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies.
  • Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster.
  • Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL).
  • Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink.
  • Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform.
  • Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc.
  • Strong technical leadership, problem solving skills and analytical thinking.
  • Excellent communication and collaboration skills and the ability to work effectively with cross-functional teams.
  • Passion for staying up to date with emerging data engineering technologies and trends
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