Description

You will design and build scalable, secure data platforms and AI/ML integrations.

This role is on-site.

Responsibilities

• Architect scalable data platforms ensuring high availability and performance.
• Develop and optimize ETL processes and data pipelines using modern frameworks.
• Implement AI & ML platforms with seamless enterprise data ecosystem integration.
• Enforce data integrity, governance, security, and compliance standards.
• Oversee data migration strategies from legacy systems to cloud architectures.

Required Skills

• 15+ years in data engineering, architecture, and cloud platforms.
• Expertise in AWS Cloud Services (storage, compute, analytics).
• Proficiency in Apache Spark, Hadoop, Airflow, and Kafka.
• Strong ETL knowledge including batch and real-time streaming.
• Deep understanding of AI & ML workflows and integration.
• Proven experience in on-premises to cloud data migration.
• Expertise in data schema design for relational and NoSQL databases.
• Solid programming skills in Python, SQL, and Spark.

Preferred Skills

• Strategic problem-solving and analytical mindset.

Key Skills

Education

Any Graduate