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Iconvergence Solutions

DATA Engineer with ETL testing

  • +3
  • +14
  • US
    Texas, United States
Manifester de l'intérêt pour ce poste
  • +3
  • +14
  • US
    Texas, United States

À propos

Data Engineer with extensive experience in Python and Cloud Technologies (preferably AWS

Experience in automating ETL processes/pipelines and AWS data infrastructure using Python.

Proficient with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker.

Expertise in SQL, Unix/Linux scripting, and developing/testing on Cloud and On-Prem ETL technologies (Ab Initio, AWS Glue, Informatica, Alteryx Experience in data migration from on-premise to cloud is a plus.

Extensive experience in DevOps/DataOps environments.

Familiarity with SageMaker, Machine Learning Studio, and H2O is an added advantage.

Well-versed in the strategies for Cloud/On-Prem ETL testing.

Skilled in interpreting and analyzing data from multiple source systems for data integration and reporting.

Knowledgeable in data modeling and data warehousing concepts with a focus on Cloud/On-Prem ETL environments.

Executes data analytics and data integration testing within time and budget constraints.

Nice to have:

Experience using Jenkins and GitLab.

Familiar with both Waterfall and Agile methodologies.

Experience in testing storage tools like S3 and HDFS.

Compétences idéales

  • Python
  • AWS
  • SQL
  • Unix
  • Alteryx
  • DevOps
  • H2O
  • Data Integration
  • Data Modeling
  • Data Warehousing
  • Data Analytics
  • Jenkins
  • Gitlab
  • HDFS
  • Texas, United States

Expérience professionnelle

  • Data Engineer
  • Data Infrastructure
  • DevOps

Compétences linguistiques

  • English