Data Solution Engineer

We are seeking a highly skilled Data Solution Engineer to design, develop, and support modern enterprise data solutions and cloud-native applications. The ideal candidate will have a strong foundation in data engineering, cloud technologies, and software development, with deep expertise in at least one of the following areas:

• Data Platform & Databricks Administration
• Azure Cloud & DevOps Engineering
• Advanced Python Application Development

This role requires collaboration with cross-functional teams to build scalable, secure, and high-performing data platforms and applications while driving automation, governance, and operational excellence., * Design, develop, and maintain scalable enterprise data solutions and cloud-based applications.

• Build and optimize data ingestion, transformation, and processing pipelines.
• Collaborate with data engineers, software developers, architects, DevOps engineers, and business stakeholders.
• Implement security, governance, monitoring, and operational best practices across platforms.
• Troubleshoot production issues and optimize system performance and reliability.
• Develop reusable frameworks, automation tools, and deployment pipelines.
• Participate in architecture discussions and recommend modern cloud and data engineering solutions.
• Ensure high availability, scalability, and maintainability of enterprise platforms.
• Create technical documentation, operational runbooks, and implementation guides.
• Stay current with emerging technologies in cloud computing, AI, automation, and data engineering.

• Bachelor''''s degree in Computer Science, Information Technology, Engineering, or related field.
• 6+ years of experience in software engineering, data engineering, cloud engineering, or platform engineering.
• Strong programming skills in Python.
• Experience with Git, CI/CD practices, and Agile methodologies.
• Strong understanding of SQL, REST APIs, cloud-native architectures, and container technologies.
• Excellent analytical, troubleshooting, and communication skills.
• Experience working with enterprise-scale applications and distributed systems.

Preferred Skills

• Microsoft Azure certifications.
• Databricks certifications.
• Experience with Apache Spark and Delta Lake.
• Knowledge of Kubernetes.
• Experience with monitoring tools such as Azure Monitor, Grafana, or Prometheus.
• Familiarity with messaging platforms such as Kafka or Azure Service Bus.
• Experience working with AI-enabled applications or intelligent automation.
• Exposure to data governance and security best practices.