Senior Python Data Engineer (#2299)

3 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

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 include designing, developing, and maintaining scalable data pipelines and ETL processes in AWS environment, architecting and implementing efficient data warehousing solutions, collaborating with data scientists and analysts to understand business requirements and translate them into technical solutions, optimizing and tuning existing data pipelines and queries to improve performance and reduce latency, ensuring data integrity, quality, and security across all data processes and systems, troubleshooting and resolving data-related issues in a timely manner, and staying updated with industry trends and best practices in data engineering.
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

Job Details

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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