Senior Data Engineer

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    Company NameBlend
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationMontevideo, Montevideo, Uruguay
    QualificationsNone / No Formal Education
    Experience5 Year+

    Job Overview

    Blend is seeking a Senior Data Engineer to join their team in Montevideo, Uruguay. You will be instrumental in leveraging data science, AI, and technology to co-create meaningful impact for clients, tackling significant challenges, and fostering innovation.

    Company Overview

    Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world. For more information, visit www.blend360.com

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Full-time
    • Qualifications: None
    • Experience: 5 Year+

    Key Responsibilities

    • Design, develop, and maintain robust and scalable data pipelines and ETL processes.
    • Implement efficient data storage solutions and ensure the highest standards of data quality and integrity.
    • Collaborate closely with data scientists and AI engineers to build and optimize data models.
    • Optimize existing data infrastructure for enhanced performance, reliability, and efficiency.
    • Contribute significantly to the strategic development and evolution of the data architecture.
    • Mentor junior data engineers, fostering their growth and promoting best practices within the team.

    Requirements

    • Proven experience as a Data Engineer, preferably within an AI or data science-focused environment (5+ years).
    • Strong proficiency in programming languages such as Python or Scala.
    • Expertise in SQL, data warehousing concepts, and big data technologies (e.g., Spark, Hadoop).
    • Demonstrated experience with cloud platforms (AWS, Azure, GCP) and data orchestration tools.
    • Ability to design, implement, and manage complex data solutions from conception to deployment.
    • Excellent problem-solving skills, strong analytical capabilities, and a collaborative mindset.

    Benefits

    • Opportunity to work with cutting-edge AI, data science, and technology solutions.
    • Be part of a passionate team dedicated to creating meaningful impact for clients.
    • Significant professional growth and development opportunities in a dynamic and innovative environment.
    • Engage in a collaborative, supportive, and forward-thinking work culture.
    • Competitive salary and a comprehensive benefits package.
    • Direct contribution to high-impact projects that shape the future of AI services.

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