
Senior Engineer, Data Engineering
1 week ago
Experience & Technical Requirements:
~3–5 years of development experience, with production systems in cloud environments.
~ Proficient in Python and/or Golang, and SQL for data processing, transformation, and orchestration tasks.
~ Experience with at least one modern cloud platform (e.g., GCP, AWS, or Azure).
~ Experience building and maintaining ETL/ELT pipelines or API-driven data services.
~ Experience with source control (e.g., Git), automated testing, and CI/CD practices.
~ Exposure to orchestration tooling such as n8n, Cloud scheduler, Airflow, Step Functions, or similar.
~ Understanding of data modeling concepts and cloud warehousing (e.g. Databricks, BigQuery, Snowflake or other).
~ Awareness of data quality, observability, and governance principles in engineering contexts.
~ Strong written and verbal communication skills, with an ability to share context with both technical peers and cross-functional partners.
~ Exposure to infrastructure-as-code, especially for deploying and managing data workflows.
~ Hands-on use of BI tools like Looker or Tableau
~ A growth mindset and interest in mentoring junior peers or learning from senior engineers.
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