Truelogic

Truelogic

Senior Data Engineer – Enterprise B2B Marketplace

LATAMRemotePosted Today
Full TimeSeniorRemote

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Job Description

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to c

Key Highlights

  • Data Platform Evolution: Guide the foundational architecture, scaling strategies, and long-term roadmap of the enterprise data platform.
  • Pipeline Engineering: Design and lead the development of highly scalable data pipelines using Airflow, dbt, and Python.
  • Modern Stack Integration: Build and maintain high-throughput integrations across core modern data stack tools, including Fivetran, Redshift, and Sigma.
  • Serverless Architecture: Develop and optimize serverless data services and ingestion layers leveraging AWS infrastructure (e.g., AWS Lambda).
  • Advanced Data Modeling: Partner with cross-functional stakeholders to define reliable, performant data warehouse architectures and analytical datasets.

Qualifications

Required Qualifications

  • Professional Longevity: 8+ years of proven experience designing and building production-grade data pipelines and large-scale analytics infrastructure.
  • Transformation & Orchestration: Strong, expert-level background utilizing dbt and Apache Airflow (or highly equivalent orchestration and transformation frameworks).
  • Data Warehousing & Ecosystems: Extensive experience with modern data warehouse architecture, specifically scaling and optimizing platforms like Amazon Redshift, alongside tools like Fivetran and Sigma.
  • Engineering Stack: Advanced Python programming capabilities for complex pipeline creation, automation scripts, and serverless data processing.
  • Data Mastery: Expert-level SQL skills with deep experience modeling massive, complex datasets for high-performance extraction.
  • Cloud Infrastructure: Deep practical familiarity with AWS cloud ecosystems, specifically deploying serverless computing architectures (e.g., Lambda).
  • Cross-Functional Leadership: Demonstrated capability to lead high-stakes technical initiatives, align diverse stakeholders, and modernize legacy workflows with high autonomy.
  • Professional Longevity: 8+ years of proven experience designing and building production-grade data pipelines and large-scale analytics infrastructure.
  • Transformation & Orchestration: Strong, expert-level background utilizing dbt and Apache Airflow (or highly equivalent orchestration and transformation frameworks).
  • Data Warehousing & Ecosystems: Extensive experience with modern data warehouse architecture, specifically scaling and optimizing platforms like Amazon Redshift, alongside tools like Fivetran and Sigma.
  • Engineering Stack: Advanced Python programming capabilities for complex pipeline creation, automation scripts, and serverless data processing.
  • Data Mastery: Expert-level SQL skills with deep experience modeling massive, complex datasets for high-performance extraction.
  • Cloud Infrastructure: Deep practical familiarity with AWS cloud ecosystems, specifically deploying serverless computing architectures (e.g., Lambda).
  • Cross-Functional Leadership: Demonstrated capability to lead high-stakes technical initiatives, align diverse stakeholders, and modernize legacy workflows with high autonomy.

Skills & Technologies

PythonAWSSQL

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

LATAM

Work Mode

Remote

Posted

Today