Cloud Data Engineer

Key Responsibilities:

• Design, develop, and maintain cloud-based solutions on Azure or AWS.

• Implement and manage real-time data streaming and messaging systems using Kafka.

• Develop scalable applications and services using Java and Python.

• Deploy, manage, and monitor containerized applications using Kubernetes.

• Build and optimize big data processing pipelines using Databricks.

• Manage and maintain databases, including SQL Server and Snowflake, and write

complex SQL scripts.

• Work with Unix/Linux commands to manage and monitor system operations.

• Collaborate with cross-functional teams to ensure seamless integration of cloud-based

solutions.

Key Skills:

• Expertise in Azure or AWS cloud platforms.

• Proficiency in Kafka, Java, Python, and Kubernetes.

• Hands-on experience with Databricks for big data processing.

• Strong database management skills with SQL Server, Snowflake, and advanced SQL

scripting.

• Solid understanding of Unix/Linux commands.

General Requirements for Both Off-Shore Roles:

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent

experience).

• 5+ years of experience in cloud and data engineering roles.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration abilities.

• Proven ability to work in a fast-paced, agile environment.