Senior Data Engineer
Job Summary
Job Description
N-iX seeks a Senior Data Engineer in Medellin to design, develop, and maintain scalable data pipelines and ETL processes within an AWS environment. This role involves architecting and implementing efficient data warehousing solutions, collaborating with data scientists and analysts, optimizing data pipelines, ensuring data integrity, and troubleshooting data-related issues. The ideal candidate will have 5+ years of experience in data engineering with strong SQL and data warehousing expertise. Responsibilities include translating business requirements into technical solutions, improving performance and reducing latency, and staying updated on industry trends and best practices. The position offers a flexible working format and a competitive compensation package.
Must have:
- Design & maintain scalable data pipelines
- Develop efficient data warehousing solutions
- Collaborate with data scientists & analysts
- 5+ years data engineering experience
- Strong SQL & data warehousing expertise
- AWS data services experience (Redshift, Lambda, Glue, S3)
Good to have:
- Python proficiency
- BI knowledge (SSRS, PowerBI)
- Big data technologies (Spark, Hadoop, Kafka)
- AWS certification
- DevOps experience
- Agile methodologies
Perks:
- Flexible working format
- Competitive salary & compensation
- Personalized career growth
- Professional development tools
- Education reimbursement
- Corporate events
13 skills required
Job Details
N-iX is looking for a Senior 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, 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
- Nice to have proficiency in Python for data manipulation, scripting, and automation
- Nice to have BI knowledge(SQL Server Reporting services, PowerBI)
- 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
- Upper-Intermediate or Advanced English Level
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
*not applicable for freelancers
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