Senior Python Data Engineer (#2299)

18 Hours ago • 5 Years +

About the job

SummaryBy Outscal

Must have:
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering
  • Solid understanding of data warehousing concepts and best practices
  • Strong proficiency in SQL
  • Proficiency in Python for data manipulation
  • Hands-on experience with AWS data services
  • Experience with version control systems such as Git
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
Good to have:
  • Master's degree or higher in Computer Science, Engineering, or a related field
  • Experience with big data technologies such as Spark, Hadoop, or Kafka
  • Experience with modern reporting software – SSRS & Power BI
  • Knowledge of machine learning concepts and frameworks
  • AWS certification (e.g., AWS Certified Developer - Associate, AWS Certified Solutions Architect)
  • Experience with DevOps practices and tools
  • Familiarity with agile methodologies such as Scrum or Kanban
  • Lending experience
Perks:
  • 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
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N-iX is looking for a Senior Python Data Engineer in Medellin.

As a Data Engineer, you will dive into the heart of data infrastructure, crafting solutions that drive business forward. You will collaborate with a dynamic team to transform raw data into actionable insights.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes in AWS environment
  • Architect and implement efficient data warehousing solutions, ensuring optimal performance and reliability
  • Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions
  • Optimize and tune existing data pipelines and queries to improve performance and reduce latency
  • Ensure data integrity, quality, and security across all data processes and systems
  • Troubleshoot and resolve data-related issues in a timely manner
  • Stay updated with industry trends and best practices in data engineering, recommending, and implementing new technologies and methodologies as needed

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering, with a focus on SQL, Python, and data warehousing
  • Solid understanding of data warehousing concepts and best practices
  • Strong proficiency in SQL, with experience in writing complex queries, stored procedures, and performance tuning
  • Proficiency in Python for data manipulation, scripting, and automation
  • Hands-on experience with AWS data services such as Redshift, Lambda, Glue, S3, etc.
  • Experience with version control systems such as Git
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Will be a plus:

  • Master's degree or higher in Computer Science, Engineering, or a related field
  • Experience with big data technologies such as Spark, Hadoop, or Kafka
  • Experience with modern reporting software – SSRS & Power BI
  • Knowledge of machine learning concepts and frameworks
  • AWS certification (e.g., AWS Certified Developer - Associate, AWS Certified Solutions Architect)
  • Experience with DevOps practices and tools for continuous integration and deployment
  • Familiarity with agile methodologies such as Scrum or Kanban
  • Lending experience

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
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