Economistas
Amazon EU Sàrl.
Luxemburgo
il y a 3j
source : Europeos.es

Responsibilities

  • Implement and test data pipelines from variety of systems (batch and real time).
  • Collaborate with the development team and end customers.
  • Mentor data engineering interns
  • Advise the team on SQL optimization, performance tune when required
  • Troubleshoot existing datasets, broken pipelines, data integrity issues
  • Ensure quality of data through tested deliverables and auditing
  • Understand team, data and software architecture; actively seeks knowledge and solutions
  • BASIC QUALIFICATIONS

    Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field

  • 1-3 years of experience in data engineering / business intelligence space
  • Curious, self-motivated & a self-starter with a can do attitude’. Comfortable working in fast paced dynamic environment.
  • Good understanding of ETL concepts and explosure to large-scale, complex datasets proessing using traditional or map reduce batch mechanism.
  • Proficient in writing performant SQL working with large data volumes; ability to understand and action query plans
  • Experience with at least one of scripting languages(e.g., UNIX Shell scripting, Python, Perl, Ruby).
  • Exposure to AWS stack / cloud computing
  • Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers
  • PREFERRED QUALIFICATIONS

    Master’s degree in Computer Science, Information Systems, Mathematics or related discipline

  • Good data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
  • Strong knowledge of Python / Spark / PySpark
  • Strong analytical skills; ability to present complex datasets in visual form
  • Strong understanding of ETL techniques and best practices to handle extremely large volume of data
  • Experience with AWS using S3, EC2, Redshift, Aurora, Lambda, QuickSight, etc.
  • Experience in data ingestions techniques for batch and stream processing using AWS Batch, AWS Kinesis, AWS Data Pipeline
  • Experience in AWS Big Data technologies such EMR, Glue, Athena, Redshift Spectrum
  • Ability to handle multiple, competing priorities in a fast-paced environment
  • Work well in teams, respecting ideas from teammates, business partners, and technical experts
  • Strong ownership and drive to get things done
  • AWS certifications or other related professional technical certifications
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