Cloud Data Solutions Engineer
RecroHyderabad, Republic Of India, IN13 days ago
Job descriptionQuantexa 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 . 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.
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 :
Preferred :
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Cloud Data Engineer • Hyderabad, Republic Of India, IN
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