Argentina, Brazil, Latin America, Mexico

Middle, Senior

Type: Remote

Average Vacancy

Dear Candidate,

Before submitting your resume, please pay attention to the location – we will not be able to review your resume and provide feedback if you are not (in fact) located in the location of the vacancy.

Thanks for understanding

Job Title: Senior Data Engineer (Apache Spark, GCP)

Join our dynamic data team, where you’ll have the opportunity to shape the future of our data infrastructure and drive innovation across the organization. We’re looking for a highly skilled Data Engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies to deliver impactful solutions.

Role Overview:

As a Senior Data Engineer, you will play a critical role in designing, developing, and optimizing scalable data pipelines using Apache Spark and Google Cloud Platform (GCP). Your expertise will be pivotal in ensuring the quality, reliability, and accessibility of our data, empowering our data scientists and analysts to make data-driven decisions.

Key Responsibilities:

Architect, build, and maintain robust, scalable data pipelines utilizing Apache Spark and GCP’s suite of data tools.
Lead the implementation and optimization of ETL processes on GCP, with a focus on BigQuery, Dataflow, and Cloud Storage.
Collaborate closely with data scientists and analysts to productionize machine learning models and enhance data-driven decision-making.
Uphold and improve data quality, reliability, and accessibility across our data ecosystem.
Drive data architecture decisions and establish best practices that align with business objectives.
Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous learning within the team.

What We're Looking For::

Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is a plus.
Experience: A minimum of 5 years in a Data Engineering role or a similar position, with a proven track record of delivering scalable data solutions.
Extensive experience with Apache Spark, including Spark SQL and Spark Streaming.
In-depth knowledge of Google Cloud Platform, particularly BigQuery, Dataflow, and Cloud Storage.
Proficiency in programming languages such as Python and Java/Scala.
Strong understanding of data modeling concepts and techniques.
Tools & Processes: Experience with version control systems like Git, and CI/CD pipelines for seamless code deployment.
Soft Skills: Strong problem-solving abilities, meticulous attention to detail, and excellent communication skills.

Preferred Qualifications:

Familiarity with data governance and security best practices.
Experience in real-time data processing and streaming architectures.

Why Join Us:

Impact: Work on projects that reach millions of users and contribute to meaningful business outcomes
Growth: We offer competitive compensation, comprehensive benefits, and opportunities for professional growth
Innovation: Be part of a team that values creativity, embraces new ideas, and works with the latest technologies

Zazmic

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Data Engineer – Apache Spark, GCP- (Brazil, Argentina or Mexico only)