MABASA / LINKEDIN
Cloud Data Engineer
CloudAI Technologies
- Location
- Washington, DC
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
* Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. * Eight (8\) years of professional data engineering experience building and operating production data pipelines. * Demonstrated experience delivering a cloud data platform on Databricks or Snowflake through full lifecycle to production. * Demonstrated experience working across more than one cloud, including Databricks on both Azure and AWS. * Experience with ELT at scale, including incremental processing and the cost and performance tuning that goes with it. * Experience implementing data quality, governance, and lineage controls on a production platform. * Experience migrating from legacy ETL tooling or an on\-premises warehouse preferred. * Experience with public sector, SLED (state, local, and education), or higher\-education clients preferred, not required. * Must physically reside in the United States and be authorized to work in the United States. U.S. citizenship or permanent residency is not required. Certifications * No certification required for this role. * Platform certification preferred (e.g., Databricks Certified Data Engineer Professional, SnowPro Advanced, Microsoft Certified: Azure Data Engineer Associate).
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