Quantexa SME

Summary

Job Summary

We are seeking an experienced Quantexa SME with expertise in Quantexa platform development, Scala, PySpark, and data engineering. The ideal candidate will design, develop, and optimize Quantexa solutions for entity resolution, data processing, and large-scale analytics.

Required Technical Skills

• Strong hands-on experience with Quantexa platform development and configuration.
• Expertise in Scala programming.
• Experience configuring Quantexa Compound Keys and entity resolution frameworks.
• Strong proficiency in PySpark and big data processing.
• Experience designing and building data pipelines and data engineering workflows.
• Good understanding of distributed systems and large-scale data processing.
• Strong analytical, troubleshooting, and problem-solving skills.

Roles and Responsibilities

• Design, develop, and implement end-to-end Quantexa solutions.
• Develop scalable applications using Scala and PySpark.
• Configure Quantexa Compound Keys, data models, and entity resolution frameworks.
• Build and optimize data ingestion, transformation, and processing pipelines.
• Collaborate with business and technical stakeholders to deliver scalable solutions.
• Optimize application performance and ensure scalability.
• Provide technical guidance, best practices, and mentorship to development teams.
• Ensure compliance with data governance, security, and quality standards.

Preferred Qualifications

• Experience with enterprise data platforms and big data ecosystems.
• Knowledge of cloud platforms and distributed data processing frameworks.
• Experience with Agile development methodologies and CI/CD practices.
• Excellent communication and stakeholder management skills.

Job Description

Job Summary

We are seeking an experienced Quantexa SME with expertise in Quantexa platform development, Scala, PySpark, and data engineering. The ideal candidate will design, develop, and optimize Quantexa solutions for entity resolution, data processing, and large-scale analytics.

Required Technical Skills

• Strong hands-on experience with Quantexa platform development and configuration.
• Expertise in Scala programming.
• Experience configuring Quantexa Compound Keys and entity resolution frameworks.
• Strong proficiency in PySpark and big data processing.
• Experience designing and building data pipelines and data engineering workflows.
• Good understanding of distributed systems and large-scale data processing.
• Strong analytical, troubleshooting, and problem-solving skills.

Roles and Responsibilities

• Design, develop, and implement end-to-end Quantexa solutions.
• Develop scalable applications using Scala and PySpark.
• Configure Quantexa Compound Keys, data models, and entity resolution frameworks.
• Build and optimize data ingestion, transformation, and processing pipelines.
• Collaborate with business and technical stakeholders to deliver scalable solutions.
• Optimize application performance and ensure scalability.
• Provide technical guidance, best practices, and mentorship to development teams.
• Ensure compliance with data governance, security, and quality standards.

Preferred Qualifications

• Experience with enterprise data platforms and big data ecosystems.
• Knowledge of cloud platforms and distributed data processing frameworks.
• Experience with Agile development methodologies and CI/CD practices.
• Excellent communication and stakeholder management skills.