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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Platform Engineer • Hyderabad, Republic Of India, IN
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