Job Description :

 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.
             

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