Data Engineer
New
S
SweedPosCannabis Retail Technology
Remote International, Core team time: 09:00-15:00 GMTFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 3+ years
- Required Skills
- AWSPythonSQLApache AirflowClickhouseSparkData modeling
Requirements
- 3+ years of experience in data engineering or a related field.
- Strong proficiency in SQL and Python.
- Hands-on experience with Airflow for workflow management.
- Experience with OLAP databases, distributed query engines, and data processing frameworks (Clickhouse, Trino, Spark).
- Solid understanding of data modeling and data engineering best practices.
- Familiarity with event-based data architectures and streaming (Spark, Flink).
- Proactive mindset with strong critical thinking and adaptability skills.
- English language proficiency.
Responsibilities
- Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from multiple systems.
- Implement monitoring, validation, and alerting for pipelines to improve data observability, accuracy, and consistency.
- Deploy, monitor, and maintain services within the AWS cloud environment.
- Collaborate with Product Analytics, Data Architecture, and Engineering teams to define and deliver data requirements.
- Optimize queries, pipelines, and storage for speed, performance, and cost-efficiency.
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