Technical Specialist

About the role

Document data models, interfaces, operational procedures, and architectural decisions.

What you'll do

• Design and develop batch and real-time data pipelines for analytics, AI, and machine learning use cases
• Build Kafka producers, consumers, topics, connectors, and stream-processing workflows with appropriate partitioning, ordering, replay, retry, and dead-letter handling
• Create and optimize BigQuery datasets, tables, views, materialized views, partitioning, clustering, and SQL workloads for performance and cost efficiency
• Integrate structured and unstructured data from applications, APIs, databases, files, and event streams
• Prepare curated, reusable datasets and feature pipelines for model training, validation, deployment, and monitoring

What you need

• 1–3 years in data science & ai
• Machine learning
• SQL
• Python
• ETL
• Data modelling
• Kafka
• Any graduate

Good to have

• BigQuery
• CI/CD
• Test automation
• GCP
• Incident response