Senior Data Engineer

We are looking for an experienced Senior Data Engineer to lead end-to-end data solutions within a complex enterprise environment. The role involves designing and building advanced ETL processes, enabling real-time data processing, and optimizing large-scale databases.

Key Responsibilities:

• Lead the design and implementation of end-to-end data solutions
• Develop and maintain complex ETL processes
• Build and optimize real-time data processing pipelines
• Optimize database performance and ensure scalability
• Work closely with Data Science, BI, and Information Systems teams

Requirements:

• At least 5 years of experience as a Data Engineer
• Proven expertise with Spark, NiFi, or Flink
• Strong hands-on experience with Python for data processing and building data pipelines
• Advanced SQL skills, including writing complex queries and performance optimization
• Deep understanding of Big Data architecture, data infrastructure, and complex enterprise environments

Advantage:

• Experience with Kafka
• Experience with NoSQL databases such as MongoDB
• Experience working in Microservices architecture
• Familiarity with BI/AI tools

Why Comblack?

At Comblack, we specialize in connecting top-tier technology professionals with leading enterprise organizations. We provide a personalized, transparent recruitment process and focus on long-term partnerships. Our team supports candidates throughout every stage, ensuring the right professional fit and real career growth opportunities.

Interested? Send us your CV to learn more.