Senior/Lead Python Engineer (with Data Engineering experience)

N-iX is looking for a Senior/Lead Python Engineer (with Data Engineering experience) to join our team!

About the project:

Our customer is the leading school transportation provider in North America, being the owner of more than a half of all yellow school buses in the United States. Every day, the company completes 5 million student journeys, moving more passengers than all U.S. airlines combined, and delivers reliable, quality services for 1,100 school districts. 

N-iX has built a successful cooperation with the client delivering a range of complex initiatives. As a result, N-iX has been selected as a strategic long-term partner to drive the digital transformation on an enterprise level, fully remodeling the technology landscape for 55,000 employees and millions of people across North America. 

 

Responsibilities:

  • Design complex ETL processes of various data sources in the data warehouse
  • Build new and maintain existing data pipelines using Python to improve efficiency and latency
  • Improve data quality through anomaly detection by building and working with internal tools to measure data and automatically detect changes
  • Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Perform data modeling and improve our existing data models for analytics
  • Collaborate with SMEs, architects, analysts, and others to build solutions that integrate data from many of our enterprise data sources
  • Partner with stakeholders, including data, design, product, and executive teams, and assist them with data-related technical issues

     

Requirements: 

  • Proficiency in Python and SQL
  • 3-5 years of commercial experience in building and maintaining a Data Lake
  • Good knowledge of AWS cloud services, including the Glue framework with integration type of projects (2 years).
  • Experience maintaining Apache Kafka
  • Knowledge of job scheduling and orchestration using Airflow
  • Steady expertise in data processing tools, including Redis, Apache Spark, Apache Iceberg, and Athena.
  • Well-versed in the optimization of ETL processes
  • Good understanding of algorithms and data structures
  • Excellent communication skills, both written and verbal
  • Ukrainian language, Advanced or higher.

     

Nice to have: 

  • Experience in the schema and dimensional data design
  • Collaboration within a scaled team, using Agile methodology
  • Decent knowledge of CI/CD (Docker, Cloud formation, Git)

     

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

Published 3 June
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