Data Engineer: AWS Data Lake & Spark Pipelines
Tenarai
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Job summary
Tenarai in Seattle is seeking a Data Engineer to build and maintain large-scale data pipelines on AWS, with strong Python development and Spark workloads.
You will design ingestion, transformation, and validation processes, and shape the data lake architecture using S3, Glue Data Catalog, Athena, EMR and Redshift.
Candidates should have hands-on experience with securing and managing data access, and delivering reliable data products at scale.
Qualifications
- Strong hands-on experience as a Data Engineer.
- Proficiency in Python and Spark-based pipelines.
- Experience with large-scale AWS data pipelines.
Responsibilities
- Design and maintain ingestion, transformation, and validation pipelines at scale.
- Build and optimize Spark data processing on AWS.
Skills
Tools
Job description
Tenarai in Seattle is seeking a Data Engineer to build and maintain large-scale data pipelines on AWS, with strong Python development and Spark workloads.
You will design ingestion, transformation, and validation processes, and shape the data lake architecture using S3, Glue Data Catalog, Athena, EMR and Redshift.
Candidates should have hands-on experience with securing and managing data access, and delivering reliable data products at scale.
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