Data Engineer - Kafka

• 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
• Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
• Experience with Azure Databricks (or willingness to learn and adopt it quickly).
• Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).

Overview

• Industry - HR Staffing & Recruitment Firms / Employment Agency / Background - Reference Check Firms
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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