Data Engineer Specialist (BOG)

Position Overview:

We are seeking an experienced Data Engineer with a DevOps mindset to join our dynamic team. This role involves developing and orchestrating data pipelines, strengthening our data infrastructure, and supporting data-driven decision-making processes.

Technical Requirements:

• 3-5 years of data engineering experience
• Strong proficiency in Python, SQL, Scala, and JavaScript
• Extensive experience with cloud platforms (AWS, GCP), including specific AWS services (MWAA, Glue, S3, DynamoDB, Secrets Manager)
• Experience with Snowflake and Astronomer for data warehousing and ETL
• Strong understanding of data warehousing, data lakes, and data management principles
• Experience with data structures, OOP, and software architecture patterns
• Expertise in version control (Git, GitHub)
• Experience in developing and consuming RESTful APIs and managing webhooks
• Advanced English proficiency

Preferred Experience:

• Experience with AI/ML pipelines and infrastructure
• Knowledge of IaC (CDK, CloudFormation)
• Experience with streaming data
• Streamlit application development
• Familiarity with observability tools
• Understanding of data caching strategies

Core Responsibilities:

• Design, develop, and maintain scalable data pipelines focusing on:
  • Integration between cloud platforms and Snowflake
  • Support for AI/ML workflows
  • Real-time data processing
  • Data quality and governance
• Implement and maintain data observability practices
• Contribute to DevOps automation and best practices
• Develop and optimize data integrations for Streamlit DataApps
• Implement caching strategies for improved performance
• Mentor junior engineers and contribute to best practices
• Collaborate with cross-functional teams
• Participate in Agile ceremonies and sprint planning

Required Soft Skills:

• Strong communication and problem-solving abilities
• Team collaboration mindset
• Self-motivated learning attitude
• Mentoring capability
• Ability to work in a fast-paced environment
• Experience in stakeholder communication
• Process improvement mindset

Working Environment & Growth Opportunities:

• Hybrid work model
• Agile/Scrum environment
• Continuous learning culture
• Leadership development opportunities
• Technical specialization paths
• Innovation-focused atmosphere
• Product-oriented approach