
AWS Data Engineer:
Job Description
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3+ years of experience in AWS Data Engineering.
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Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data
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Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)
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Should have knowledge in SQL and NoSQL programming languages.
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Have worked on batch and real time pipelines.
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Excellent programming and debugging skills in Scala or Python & Spark.
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Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.
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Must have experience in Production migration Process
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Nice to have experience with Power BI visualization tools and connectivity
Roles & Responsibilities:
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Design, build and operationalize large scale enterprise data solutions and applications
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Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.
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Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.
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Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

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