Senior Data Engineer (#3213)

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