Senior Associate Data Engineering L1

hace 2 meses


Buenos Aires, Argentina Publicis Groupe A tiempo completo

Company Description

Publicis Sapient is looking for a Senior Data Engineer to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients’ most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Job Description

Your impact:

  • Play a key role in delivering data-driven interactive experiences to our clients 
  • Work closely with our clients in understanding their needs and translating them to technology solutions
  • Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs
  • Problem solving to resolve issues and remove barriers throughout the lifecycle of client engagements
  • Ensuring all deliverables are high quality by setting development standards, adhering to the standards, and participating in code reviews
  • Participate in integrated validation and analysis sessions of components and subsystems on production servers

Qualifications

Your Skills and Experience:

  • Bachelor’s degree in Computer Science, Engineering or related field
  • Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines with Python and Scala
  • Hands-on experience with at least one of the leading public cloud data platforms (Ideally Azure)
  • Experience with column-oriented database technologies (i.e. Big Query, Redshift, Vertica), NoSQL database technologies (i.e. DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e. SQL Server, Oracle, MySQL)
  • Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Databricks, Azure Data Factory, Spark, Spark Streaming, etc. 
  • Understanding of data modeling, warehouse design and fact/dimension concepts
  • Good communication and willingness to work as a team

Set Yourself Apart With:

  • Certifications for any of the cloud services (Ideally Azure)
  • Experience working with code repositories and continuous integration
  • Understanding of development and project methodologies

 


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