Description

You will build and maintain scalable data platforms and services for the global data ecosystem.

Responsibilities

• Design, develop, and maintain scalable data processing pipelines using Spark/PySpark and Hadoop on AWS.
• Implement and optimize data workflows across AWS EMR, EC2, and ECS.
• Develop and integrate RESTful APIs and AWS Gateway services using Scala or Java.
• Collaborate with cross-functional teams to gather data requirements and deliver solutions.
• Ensure data quality, performance, and reliability across all implemented systems.

Required Skills

• 3–5 years of experience in Big Data Engineering.
• Strong hands-on experience with Spark/PySpark and Hadoop.
• Proficiency in Scala or Java for backend and API development.
• Experience with AWS EMR, EC2, and ECS.
• Solid understanding of RESTful API design and integration.
• Familiarity with CI/CD pipelines and version control (e.g., Git).
• Ability to solve complex technical problems and communicate requirements clearly.

Preferred Skills

• Experience in data security and compliance within cloud environments.
• Exposure to data lake architectures and real-time data processing.

Key Skills

Education

Any Graduate