Data Engineer

📋 Description

• Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines.
• Build and operate distributed data processing services using Java, Python, Kafka, and related
• Design scalable, resilient, and high-performance data architectures to support complex processing
• Develop and optimize data models for analytics, search, graph, and operational workloads.
• Deploy and manage applications in Kubernetes-based environments, using containerization
• Work with cloud-native services across AWS, GCP, or other public cloud platforms while supporting

🎯 Requirements

• At least 5 years of experience in Data Engineering, Software Engineering, or Platform Engineering.
• Strong programming skills in Java and/or Python.
• Hands-on experience with Kubernetes and containerized applications, particularly Docker.
• Practical experience with AWS, GCP, or other public cloud platforms.
• Experience supporting or operating hybrid cloud and on-premises environments.
• A solid understanding of distributed systems and multithreaded applications.

🎁 Benefits

• Base salary: $100,000–$120,000 per year, depending on qualifications, experience, location, skills
• Potential eligibility for commission and short- and long-term incentives as part of the overall
• Health insurance coverage.
• Life and disability insurance coverage to support employee protection and financial security.
• 401(k) plan with employer matching.
• Paid holidays and paid time off (PTO).