Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines
• Build and optimize data processing solutions using Python and Apache Spark
• Develop and support real-time data streaming applications using Kafka
• Design and implement enterprise data solutions leveraging Snowflake
• Build cloud-native data architectures and services on AWS
• Ensure data quality, reliability, scalability, and performance across the data ecosystem
• Troubleshoot, monitor, and optimize production data pipelines
• Participate in technical discussions, code reviews, and engineering best practice initiatives
• Collaborate with cross-functional teams to support data-driven business initiatives

Qualifications

• 4+ years of professional experience as a Data Engineer
• Strong experience with Python development
• Hands-on experience with Apache Spark
• Strong knowledge of Snowflake
• Experience building and maintaining ETL/ELT pipelines
• Experience with Apache Kafka and event-driven architectures
• Experience working with AWS cloud services
• Understanding of data modeling and data warehousing concepts
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in distributed teams
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Experience with large-scale E-commerce platforms
• Familiarity with real-time analytics systems
• Knowledge of infrastructure automation and CI/CD practices
• Experience optimizing high-volume data processing pipelines
• Understanding of distributed systems concepts

Additional Information

PERSONAL PROFILE

• Strong ownership mindset
• Attention to detail
• Proactive communication skills
• Collaborative and team-oriented attitude
• Ability to work independently in remote environments