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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Data Engineer • Hyderabad, India
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