Senior Data Engineer

RemoteSenior
🇺🇾 Uruguay
Data Engineer
Data science & Analytics

What is this position about?

We are looking for a Data Engineer to join a leading organization in the pharmaceutical distribution sector, partnering with a well-established network of pharmacies across the nation. This company is committed to enhancing healthcare accessibility and promoting community well-being through innovative solutions and customer-centric services.

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office!

What will I be doing?

  • Designing and developing robust and scalable data pipelines to ingest, process, and transform large volumes of data.
  • Implementing ETL processes to extract, transform, and load data from various sources into our data warehouse.
  • Understand data requirements and ensure timely delivery of reliable data solutions.
  • Optimizing data infrastructure and performance.
  • Design and manage relational and non-relational databases to support data storage.
  • Work with large datasets to perform data cleaning, validation, and analysis.
  • Design, develop, and maintain APIs for data access and manipulation.
  • Plan and execute data migrations between different systems and platforms, including developing and utilizing bash scripts to automate migration processes.

Requirements

What expertise do I need?

  • Studies in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer.
  • Proficiency in Python and SQL.
  • Experience with cloud technologies: AWS preferred.
  • On premise services experience is highly valuable.
  • JavaScript understanding and knowledge.
  • Backend development experience is valued.

What about languages?

  • Excellent written and verbal English for clear and effective communication is a must!

How much experience must I have?

We're looking for someone with +5 years of experience as a Data Engineer.

 

Blend360

Blend360

A growing tech company with over 10 years of experience in the field of big data, serving top US customers such as Mastercard, Tripadvisor, and Roku.

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