Senior Data Engineer / Technical Lead

• Design and develop scalable batch and streaming data pipelines using PySpark and Databricks.
• Build and optimize enterprise data models and transformation pipelines using Snowflake and DBT.
• Develop advanced SQL scripts, stored procedures, and performance-optimized queries.
• Design and implement real-time streaming architectures.
• Build integrations using APIs, event-driven architectures, and cloud-native services.

Overview

• Industry - IT - Software / Product Development
• Job Role - Data Analyst, Senior Data Engineer
• Employment type - Full Time - Permanent
• Work Mode - Hybrid

Qualifications

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

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