Data Engineer

1. Architect & maintain scalable data platforms

2. Design data lakes/warehouses (Redshift, BigQuery, Snowflake)

3. Build real-time & batch pipelines (Airflow, Kafka, Spark)

4. Ensure data quality, governance, observability

5. Lead code reviews, mentor engineers

6. Integrate CI/CD for deployment/testing

7. Proficient in AWS, GCP, Azure, Docker, GIT

Overview

• Industry - HR, HUMAN RESOURCES
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Management / Statistics
• 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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