Description

Design and manage scalable data ingestion and processing frameworks within an event-driven architecture.

This role is on-site.

Responsibilities

• Architect scalable data ingestion and processing frameworks using event streaming technologies.
• Establish architectural best practices and oversee end-to-end data analytics initiatives.
• Integrate diverse data sources and systems by collaborating with cross-functional teams.
• Evaluate emerging data analytics and event streaming tools for organizational adoption.
• Develop data governance policies, standards, and detailed architecture documentation.

Required Skills

• 15-20 years of professional experience in software architecture.
• Expert knowledge of Apache Beam, Apache Spark, Kafka, Apache Flink, and Apache Pinot.
• Extensive experience in data ingestion, data processing, and event-driven architectures.
• Strong understanding of data analytics and data science methodologies.
• Proven ability to ensure data accuracy, reliability, and integrity across enterprise systems.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Mentor junior architects and engineers while aligning solutions with business strategies.
• Strong analytical, problem-solving, and presentation skills.

Key Skills

Education

Any Graduate