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AWS Data Engineer

Industry: Holding Companies & Conglomerates
Remote
Company size: 10K+
Full-time/Part-time

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Job description

An NYSE-listed company that has rewritten the history of the pharmaceutical industry with their century-long contribution to the field, is looking for an AWS Data Engineer. The engineer will be responsible for optimizing and troubleshooting data pipelines and data models. The company’s wide range of healthcare and pharmaceutical products has enabled patients across the world to access high-quality solutions at a cost-efficient price. This is an amazing opportunity for candidates who are eager to work with a multinational giant and build an enviable career for themselves.  

 

Job Responsibilities:

  • Ensure the availability, integrity, and confidentiality of data
  • Demonstrate a favorable attitude toward ongoing learning and a willingness to adopt new perspectives
  • Technical solutions should be documented and communicated to both technical and non-technical audiences
  • Keep abreast of new AWS data technologies and assess how they may affect our current systems

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a data engineer
  • Extensive experience working with AWS, PostgreSQL, and Talend Open Studio
  • Familiarity with AWS Glue, AWS Lambda, Amazon Redshift, and Snowflake is nice to have
  • Prior experience using multidimensional data modeling, data ingestion frameworks and tools (Talend), data mining, and segmentation techniques on three or four projects
  • Demonstrable experience building data apps using AWS Cloud Services and curating and creating data pipelines
  • Experience with Database programming at an advanced level (AWS Redshift, SQLDW, PostgreSQL, SQL expert)
  • Extensive knowledge of user-defined functions (UDF) and stored procedures
  • Comprehensive understanding of data warehouse ideas and multidimensional modeling (Star Schema and Snowflake)
  • Strong background in data pipeline development in multi-cloud environments like AWS and Azure
  • Ability to communicate well with business users, Product Owners, and technical peers
  • Nice to have a solid familiarity with serverless architecture, such as Spark, Amazon Glue, and Lambda functions
  • Some experience with agile approaches and working in product development agile teams
  • Possess a high degree of independence and flexibility
  • Great analytical and problem-solving skills 
  • Solid experience working on multifunctional teams in the LATAM region is desirable
  • Some understanding of the Spanish or Portuguese language 
  • Excellent English communication skills, both conversational and written 

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