Data Engineer

• Build scalable data pipelines (Spark, Kafka, Airflow)

• Manage lakehouse/warehouse (Snowflake, BigQuery, Databricks)

• Develop ETL/ELT workflows

• Ensure data quality, security, governance

• Optimize performance & reliability

• Collaborate across teams

• Mentor juniors & review code

• Automate with CI/CD, DevOps tools

• Skills- SQL, Python/Scala, cloud

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - Site Engineering / Project Management
• Job Role - Engineer - Other
• Employment type - Full Time - Permanent
• Work Mode - Remote
• Open To Hire - Other Industry

Qualifications

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

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