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Senior AWS Data Engineer

Skills

airflowathenaawsbig dataclouddata engineeringdata modelingdata pipelinesdata qualityetlhadoopkafkakinesislambdametadata managementpythonredshifts3sparksqlstep functionsAWS

Description

  • Design, develop, and optimize scalable cloud-based data pipelines and ETL solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Lambda, and Kinesis.

  • Develop data engineering solutions using Python, SQL, Spark, Kafka, Hadoop, and other big data technologies.

  • Build and manage data orchestration workflows using Apache Airflow, AWS Step Functions, and similar tools.

  • Implement data modeling, data quality, governance, metadata management, and integration solutions across relational and NoSQL databases.

  • Develop dashboards, reports, and analytical models while supporting higher education student-level data, workforce outcomes, and executive decision-making.

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