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.