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Senior Data Engineer II - Remote

Posted 3 days ago
Data Analysis
Full Time
MX, Argentina

Overview

As a Senior Data Engineer II at TrueML, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform, leveraging machine learning to enhance customer experiences in financial services.

In Short

  • Design and build robust data LakeHouse solutions using Apache Iceberg.
  • Integrate diverse source systems and construct scalable data pipelines.
  • Analyze business requirements to develop data models and curated data products.
  • Manage AWS cloud infrastructure for the data platform with Infrastructure as Code.
  • Implement CI/CD pipelines for automated infrastructure deployments.
  • Monitor data workloads for performance and troubleshoot issues.
  • Collaborate with Data Services and Data Science teams to enhance the data platform.
  • Unlimited PTO and medical benefit contributions.

Requirements

  • Bachelor's degree in Computer Science or related field; Master's is a plus.
  • 5+ years of engineering experience, with 3+ years in data-focused roles.
  • Experience with data lake and data warehousing platforms.
  • Strong Python and SQL skills.
  • Proficiency with AWS data services.
  • Experience with Terraform and Kubernetes.
  • Ability to build and operationalize data pipelines.
  • Experience with relational databases.

Benefits

  • Unlimited PTO.
  • Medical benefit contributions in accordance with local laws.
TrueML logo

TrueML

TrueML is a mission-driven financial software company focused on enhancing customer experiences for distressed borrowers. By leveraging machine learning, TrueML aims to provide personalized, digital-first financial solutions that cater to individual lifestyles. The company is composed of a diverse team of data scientists, financial services experts, and customer experience enthusiasts dedicated to ensuring that no one is excluded from the financial system. TrueML is committed to modernizing its infrastructure and improving its DevOps capabilities to empower engineers and streamline the software development lifecycle, ultimately delivering greater value to clients.

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