Senior Platform Data Engineer

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We are seeking a Senior Platform Data Engineer to join our team of experts. This role focuses on developing and maintaining a scalable data platform using cutting-edge technologies to meet the client's evolving needs. The ideal candidate is a proactive problem-solver, passionate about working with complex data systems, and enjoys collaborating in an innovative and supportive environment.

Responsibilities

Responsibilities:

• Core Data Platform Development:
  • Develop and maintain scalable data pipelines and integrations to manage increasing data volume and complexity.
  • Design and implement data contracts to streamline communication and dependencies between teams.
  • Build pipelines from scratch and on templates, utilizing modern tools and techniques.
  Collaboration & Quality:
  • Work with analytics and business teams to improve data models feeding business intelligence tools, fostering data-driven decision-making.
  • Implement and monitor systems ensuring data quality, governance, and accuracy for all production data.
  Data Infrastructure Management:
  • Manage and enhance the data platform, incorporating technologies like Airflow, Glue Jobs, and data mesh principles.
  • Design data integrations and establish a data quality framework.
  • Define company data assets, document transformations, and maintain engineering wikis.
  Operations & Compliance:
  • Collaborate with engineering, product, and analytics teams to develop and maintain strategies for long-term data platform architecture.
  • Troubleshoot and resolve data-related issues in production environments.
    
  Requirements
  • 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 salary adjustment every four months (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.Seniority level
  • Seniority levelMid-Senior level
  Employment type
  • Employment typeFull-time
  Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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