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Data Engineer
RARR Technologies
posted 13hr ago
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Flexible timing
Key skills for the job
Job Description
- Strong Analytics & Development Experience: Extensive experience in developing industrial grade scalable, high-performance applications for handling high-volume, real-time, unstructured datasets.
- ELK Stack Expertise: Hands-on experience with the Elastic Stack (Elasticsearch DB, Logstash) for data indexing, real-time search, analytics, and visualization ( Grafana ).
- Proficiency in integrating with high volumetric realtime data via Kafka for processing large datasets.
- Object-Oriented and Functional Programming: Strong programming experience in Python for building and optimizing data processing pipelines.
- Cloud Native Architecture & Kubernetes: Experience in developing applications and deploying workloads in Kubernetes environments.
- Data Pipeline & Workflow Management: Experience building and managing data pipelines using industry-standard tools (e. g. , Apache Airflow, Apache NiFi, etc. ) for ETL, data orchestration, and scheduling.
- Performance Tuning: Proven experience in fine-tuning query performance, optimizing database performance, and improving data processing workflows to meet stringent SLA requirements.
Elk, Grafana, Logtash, Elastic, Kafka, Kubernetes
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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