Data Engineer - Open Application

Truelogic

Deutschland

Vor Ort

EUR 70.000 - 100.000

Vollzeit

14 Tage+

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Zusammenfassung

Truelogic is a leading provider of nearshore staff augmentation services, with a strong team of tech professionals based in Latin America and headquarters in New York. We partner with U.S.

companies on impactful projects and digital transformation efforts, delivering results that drive growth and innovation. As a Python data professional, you will work on data processing solutions, ingest data from REST APIs, and collaborate across data stores to build scalable analytics pipelines in a dynamic,

Qualifikationen

  • 5+ years of professional experience in the role.
  • Proficient in Python for data processing and analytics.
  • Experience with Pandas and PySpark.
  • Experience consuming data from REST APIs.

Aufgaben

  • Develop data processing solutions using Python, Pandas, and PySpark.
  • Consume and integrate data from REST APIs into data pipelines.
  • Work with relational and non-relational data stores to support analytics.

Jobbeschreibung

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

RESPONSIBILITIES
  • 5+ years working on the role professionally.
  • Coding:
  • Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark.
  • Consume data from different sources like REST APIs.
  • Data Stores:
  • Work with relational and non-relational dat...
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