Description

You will design and maintain scalable big data architectures and processing systems.

This role is hybrid.

Responsibilities

• Design and build scalable data architectures and processing pipelines.
• Implement data processing workflows using Hadoop, Spark, and Kafka.
• Optimize data storage and retrieval for performance and reliability.
• Perform data modeling and mining to support business requirements.
• Ensure data quality, governance, and security across all systems.

Required Skills

• 5+ years of experience in big data engineering.
• Proficiency with Hadoop, Spark, and Kafka.
• Experience with Docker and Kubernetes for application deployment.
• Strong knowledge of data structures, algorithms, and distributed systems.
• Expertise in parallel processing and data modeling.
• Proficiency in Git for version control.
• Knowledge of data integration, security practices, and regulatory compliance.
• Ability to optimize data processing and storage for high performance.

Preferred Skills

• Experience with real-time data processing and stream analytics.
• Knowledge of DevOps practices for continuous integration and deployment.
• Familiarity with machine learning techniques and advanced analytics tools.

Key Skills

Education

Any Graduate