Data Engineer

Buenos Aires, Argentina

About the Project:

Join our team working with the largest pan-European online car marketplace with over 1.5 million listings and 43,000 car dealer partners. Our client provides inspiring solutions and services that empower customers and deliver real value. As part of this dynamic project, you’ll play a key role in shaping and optimizing their data platform, leveraging modern tools and methodologies.


Essential functions

Main responsibilities

  • Design and optimize data ingestion systems to ensure a consistent flow of high-quality data into the platform, creating a solid foundation for developing data products and supporting comprehensive KPI tracking and analysis.
  • Demonstrate expertise in Infrastructure as Code (IaC), utilizing tools like Terraform or CloudFormation to automate infrastructure deployment and management.
  • Translate business requirements into robust technical architecture, including designing physical schema and logical data models.
  • Engage with stakeholders to understand their needs, providing technical guidance for current and future data platform projects.
  • Analyze user interaction with the data platform, focusing on patterns of use to identify areas for improvement and optimize user engagement over time.
  • Implement and maintain data governance frameworks, emphasizing automated processes for data quality checks, compliance adherence, and secure data handling, while collaborating with engineering teams to integrate governance protocols into data pipelines and platform architecture.
  • Participate actively in all Data Platform Engineering team meetings and knowledge-sharing sessions, contributing to team learning and process improvement.

Qualifications

  • 5+ years work experience as a Data Engineer in a cloud-based environment with focus AWS (Athena, Glue, EMR, Firehose etc.)
  • Hands-on experience with Big Data technologies (Hadoop, Spark, Trino)
  • Experience in Python, SQL and/or Scala
  • Know-how of Linux, Shell, and DevOps tools
  • Strong understanding of the data architecture to enable ML and Data Analytics
  • Advanced understanding of ETL work, data modelling and resilient engineering
  • Familiarity with data governance principles, data quality frameworks, and data contracts to ensure compliance and data integrity
  • Basic knowledge of data mesh principles and frameworks, with an appreciation for decentralized data management and shared data ownership


We offer

  • Flexible working hours (full-time).
  • One "Flex Day" off per month.
  • 10 business days of vacation.
  • Swiss Medical health coverage.
  • 100% remote work.
  • Permanent contract with quarterly salary updates (PESOS ARG).
  • Access to Udemy and Platzi for professional training.
  • Employee Assistance Program (financial, nutritional, psychological support, etc.).
  • Fully covered English classes during working hours.
  • Discounts on Club de Beneficios and Samsung products.
  • Birthday day off.

About us

Mobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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