Data Engineer

1. Collaborate with product and engineering teams to define metrics and data needs

2. Design and build scalable ETL/ELT pipelines for structured and unstructured data

3. Manage data warehouses like AWS Redshift, BigQuery, or Snowflake

4. Set up and manage CI/CD pipelines for data processes

5. Work with tools like Segment, HevoData, Stitch, Amplitude, or Clevertap

Overview

• Industry - IT - Software / Product Development
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Datawarehousing Technician, Data Quality Engineer
• 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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