Hybrid Data Engineer, Python

Posted 8 hours ago

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About the role

  • Data Engineer designing and scaling data pipelines for tgndata to enhance pricing intelligence. Building robust data solutions while collaborating with development and data teams.

Responsibilities

  • Build and maintain Python scripts to collect product data from APIs, e-commerce sites, and databases
  • Design data pipelines that clean, transform, and enrich raw product data for matching
  • Improve performance and scalability across millions of data points
  • Implement monitoring, logging, and error tracking to keep pipelines healthy
  • Collaborate with dev and data teams to ship features and solve complex data challenges

Requirements

  • Solid Python skills for data extraction, transformation, and manipulation
  • Familiarity with SQL and relational databases
  • Understanding of ETL workflows, data modeling & schema design
  • Degree in Computer Science or a related field
  • Analytical mindset-you enjoy digging into large datasets
  • Strong communication & a collaborative team player
  • Curiosity-driven and self-motivated to stay sharp with modern tools
  • Experience in data scraping will be a bonus

Benefits

  • Private health & life insurance plan
  • Paid leave for your birthday
  • Monthly lunch allowance & free coffee/snacks
  • Hybrid work: flexible WFH schedule + days onsite
  • Support for courses, degrees, and tech seminars
  • Modern office & casual team lunches
  • Social events, game nights, and team offsites

Job title

Data Engineer, Python

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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