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Big Data Engineer - Remote

Posted 2 weeks ago
Software Development
Contract
LATAM

Overview

This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed.

In Short

  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition

Requirements

  • 5+ years of experience in data engineering
  • Bachelor’s degree in Computer Science, Engineering or related STEM field
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Java and Python)
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills
  • Data engineering certification (e.g IBM Certified Data Engineer)
  • Experience in Orchestration, Spark and/or Big Data Analytics technologies

Benefits

  • Collaborative, cross-functional team environment
  • Encouragement for continuous learning
  • Opportunities to take on new responsibilities
  • Reward for innovation
HopHR logo

HopHR

HopHR is an innovative staffing and recruiting firm dedicated to connecting emerging talent in AI, ML, and Data Science from Latin America with transformative projects worldwide. Utilizing advanced AI technology, HopHR meticulously evaluates a vast pool of candidates, ensuring that only the most qualified individuals are presented for consideration. The company is committed to breaking down geographic barriers, providing high-paying, future-oriented job opportunities that not only enhance the careers of talented individuals but also contribute positively to their communities. Join HopHR in redefining the future of work in an AI-driven landscape.

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