- Deliver in-depth, interactive, and hands-on sessions on advanced data engineering and AI integration.
- Distributed processing,
using Apache Spark &Databricks. Data orchestration i>w ithAirflow i>& amp;< i>C I/ C D pipelines for data workflows,
Real-time streaming ,
us ingKafka &nbs p;or Kinesis,Lakehouse architectures usin gDelta Lake,Snowflake,and cloud-native solutions.Data preparation fo rAI / ML pipelines,includin r feature eng ineerin gand dataset versioningWorking withML flow,Databr ic k sAuto ML,andAI/MLintegrationsoncloudplatformsImplementingdata governance,lineage,manningbest practices. li >< li >Guide learnersthrough < li >Collaboratewit hcurriculumdesigners tointegrateemerging -
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Senior Trainer – Data Engineering - New York - Revature
Description
Key Responsibilities
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Full time Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York, NY
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York
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Data Engineer
Only for registered members New York