Amazon Web Services (AWS)
Data AnalyticsAWS 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.
Shubham Vishwakarma
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Curious and spiritual soul - Understanding of market and experience with
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Java
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Vymo is a Sanfrancisco-based next-generation Sales productivity SaaS company with offices in 7 locations. Vymo is funded by top tier VC firms like Emergence Capital and Sequoia Capital. Vymo is a category creator, an intelligent Personal Sales Assistant who captures sales activities automatically, learns from top performers, and predicts ‘next best actions’ contextually. Vymo has 100,000 users in 60+ large enterprises such as AXA, Allianz, Generali.Vymo has seen 3x annual growth over the last few years and aspires to do even better this year by building up the team globally.
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Full Stack Developer - Averlon