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.
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One Impression is one of the world’s largest influencer marketing platforms, working with 300+ global brands like Unilever, Nestle, and Amazon to connect with a diverse creator network. Our platform empowers brands and creators to collaborate seamlessly and scale their reach. To capture a significant share of global media ad spend, One Impression is quickly becoming the industry’s go-to influencer marketing platform.
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Their business intelligence technology and understanding of the mobile space allows them to lock-in on trends before others do; thereby allowing them to buy the most promising apps that have huge potential to scale, and their inhouse team of growth marketeers helps the apps to grow and monetize in significant ways.
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