Senior Consultant - Data Engineering

• Data analysis, pipeline development, and quality improvement

• Solution design, documentation, and project delivery

• Python, SQL, Azure Data Factory/Databricks, Spark, Kafka

• REST APIs, Swagger, Apigee (X/Edge), GitHub Actions, Jenkins

• 5–8 yrs in Data Engineering, cloud & Kubernetes exp.

• Certified in Kubernetes & Apigee, CS/MIS degree

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office
• Open To Hire - Other Industry

Qualifications

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

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