[Only 24h Left] Data Engineer
3 days ago
Key Responsibilities: - Configure, deploy, and maintain Quantexa software on cloud platforms such as AWS, Azure, or Google Cloud. - Design, implement, and optimize data pipelines and integration workflows within the Quantexa ecosystem. - Collaborate with cross-functional teams to ensure data quality, scalability, and performance in large-scale data solutions. - Troubleshoot and resolve issues related to Quantexa platform deployment and data ingestion. - Implement best practices for security, monitoring, and automation of Quantexa environments. Required Skills & Qualifications: - Quantexa Certification is mandatory. - Strong hands-on experience with cloud platforms (AWS, Azure, or Google Cloud). - Proficiency in Scala (preferred), Java, Python, or other data engineering languages. - Experience with ETL, data modeling, and big data ecosystems (Spark, Hadoop, Kafka, etc.). - Strong understanding of data integration, entity resolution, and graph analytics concepts. Preferred: - Experience working in data-driven or AI/ML environments. - Knowledge of CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
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Systems Integration Advisor
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Azure Data Engineer
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