Principal Data Engineer

Simple MachinesData engineering

Workable workplace: remote; Workable locations: Poland; Location: PolandFull-TimePrincipal

Salary not disclosed

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Job Details

Bring strong Python and SQL skills.
Have deep experience with Spark and modern data platforms such as Databricks or Snowflake.
Have a solid grasp of AWS or GCP cloud data services.
Demonstrate ownership of large-scale data platform architectures.
Bring strong data modelling skills and architectural decision-making ability.
Have built and operated large-scale data pipelines in production.
Have experience with infrastructure as code using Terraform or Pulumi.
Have experience with CI/CD pipelines using tools such as GitHub Actions or ArgoCD.
Have experience with data testing and quality frameworks such as dbt, Great Expectations, or Soda.
Have experience in consulting or professional services environments.
Be comfortable mentoring senior engineers and influencing technical culture.

Own the end-to-end architecture of modern, cloud-native data platforms.
Design and deliver platforms using Databricks, Snowflake, AWS, and GCP.
Build and optimize batch and real-time data pipelines.
Work with streaming and event-driven technologies including Kafka, Flink, Kinesis, and Pub/Sub.
Orchestrate workflows using Airflow, Dataflow, and Glue.
Process and transform large datasets using Spark and Flink.
Optimize storage formats and access patterns across relational, NoSQL, and analytical stores.
Work directly with clients to understand problems and shape solutions.
Set engineering standards, review designs and code, and mentor engineers.

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