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Devlane

Sr. Data Engineer (PySpark)

Posted 8 Days Ago
Be an Early Applicant
In-Office
Kountríon, Trifylia
Senior level
In-Office
Kountríon, Trifylia
Senior level
The role involves designing and optimizing scalable data processing systems using Python and PySpark, contributing to business intelligence and AI/ML initiatives.
The summary above was generated by AI

Welcome to Devlane!

We are a dynamic software development company with a strong presence across Latin America. Currently, we specialize in offering staff augmentation services to clients worldwide, with a particular focus on North America.

Joining our team offers you the opportunity to shine and make a significant impact on the projects you work on. Many of our clients are modern small to medium-sized businesses experiencing rapid growth, and they're eager to add core members like you to their teams. This environment ensures you'll stay up-to-date with the latest technology trends.

At Devlane, our values are straightforward: we foster a collaborative environment and prioritize building long-lasting relationships where you can develop your skills as a software engineer and learn from your peers. 
 

What's the role about?
We are looking for a senior, hands-on Data Engineer with strong experience in PySpark and distributed data systems to help scale our data infrastructure. This role is ideal for engineers who enjoy solving complex data challenges, building robust data pipelines, and working closely with experienced technical peers in highly collaborative environments.
You will contribute from day one to the design, optimization, and reliability of scalable data processing systems that support business intelligence and AI/ML initiatives.

What do we require from you?

  • Strong professional experience with Python
  • 3–5+ years of hands-on PySpark experience in production environments
  • Experience building and maintaining large-scale data pipelines
  • Strong understanding of distributed computing systems
  • Proven ability to design, develop, and optimize data processing workflows
  • Experience working with cloud environments (any major provider)
  • Ability to contribute independently with minimal ramp-up time
  • Strong English communication skills (comfortable in highly collaborative environments)

Some of our Perks:

  • Salary in USD.
  • 100% Remote from Home.
  • 25 days of Paid Time Off per year.
  • 8-hour workday, with flexible hours.
  • Welcome kit from the brand.
  • High-end hardware provided: laptop, mouse, & headphones.
  • English classes, virtual library, and online courses.
  • Contribution bonuses

Ready to take the next step in your career? 

Apply now!

Top Skills

Pyspark
Python

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