Senior Data Engineer

Montevideo, Uruguay

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Blend 360 Company to grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.   

Job Description

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.  

Qualifications

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.  

Additional Information

Our perks and benefits:   

🍔Every day lunches! (headquarters)   

  • Vegetarian, vegan, gluten and sugar free options.   

  • Gourmet meals every Friday with our on-site chef!   

⚖️ Flexible working options to help you strike the right balance.   

👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories).   

☕Snacks and beverages available everyday (headquarters).   

🎮After office events, football, tennis and game nights (headquarters).   

  • Everyone is welcome to join our football league every Wednesday’s and Friday’s.   

  • Challenge your teammates to a pool game and win the office’s trophy!   

  • Tennis courts available for friendly matches.   

  • You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!   

📚 Learning opportunities:   

  • AWS Certifications (we are AWS Partners).   

  • Study plans, courses and other certifications.   

  • English Lessons.   

  • Learn from your teammates on our Tech Tuesdays!   

👩‍🏫 Mentoring and Development opportunities to shape your career path.   

🎁 Anniversary and birthday gifts.   

🏡 Great location and even greater teammates!   

 So what are the next steps?   

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!   

Cheers!   

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs AWS Big Data Computer Science Data pipelines Data warehouse Engineering ETL JavaScript Pharma Pipelines Python RDBMS SQL

Perks/benefits: Career development Flex hours Snacks / Drinks Team events

Region: South America
Country: Uruguay

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