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AWS Data Architect @ EY

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EY  AWS Data Architect

Job Description

Role & responsibilities

Tech Stack: -

  • AWS
  • Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
  • Experience in Pyspark/Spark / Scala
  • Experience using software version control tools (Git, Jenkins, Apache Subversion)
  • AWS certifications or other related professional technical certifications
  • Experience with cloud or on-premises middleware and other enterprise integration technologies.
  • Experience in writing MapReduce and/or Spark jobs.
  • Demonstrated strength in architecting data warehouse solutions and integrating technical components.
  • Good analytical skills with excellent knowledge of SQL.
  • 8+ years of work experience with very large data warehousing environment
  • Excellent communication skills, both written and verbal
  • 3+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
  • 3+ years of experience data modelling concepts
  • 3+ years of Python and/or Java development experience
  • 3+ years experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: EY
Location(s): Kochi

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Keyskills:   pyspark databricks AWS scala Hadoop HDFS EMR Yarn SQL Glue Amazon Redshift Spark Athena

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₹ 25-37.5 Lacs P.A

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