Staff Data Engineer
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Some ghost-posting signals
- open for 264 days (90+ without a fill is a strong ghost signal)
- 62 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
Who you are:
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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