Data Engineer

• Architect & maintain scalable data platforms

• Design data lakes/warehouses (Redshift, BigQuery, Snowflake)

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

• Ensure data quality, governance, observability

• Lead code reviews, mentor engineers

• Integrate CI/CD for deployment/testing

• Proficient in AWS, GCP, Azure, Docker, GIT

Overview

• Industry - IT - Consulting Services / Advisory Services
• 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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