Data Engineer

Position: Data Pipeline Engineer (1–4 Years Experience)

Location: Karaikudi

Experience: 1 to 4 Years

Joiner Preference: Immediate joiners preferred

Employment Type: Full-time

Job Summary

We are looking for a highly motivated Data Engineer with a strong foundation in Python and scalable data architectures. You will be responsible for building and maintaining a secure, scalable data ingestion layer that brings in client gameplay and monetization data into our PostgreSQL environment. This role involves close collaboration with analytics teams and requires solid experience in setting up and managing data pipelines.

Key Responsibilities

• Build and maintain data pipelines to ingest client gameplay and monetization data into our PostgreSQL environment
• Set up data connectors (e.g., for REST APIs, file uploads, or Mixpanel/Adjust exports)
• Implement validation, logging, and monitoring systems to ensure pipeline reliability
• Coordinate closely with internal analytics team on schema definitions and ingestion requirements

Key Skills Required

• Strong background in Python data engineering (e.g., Airflow, Dagster, Prefect)
• Experience with PostgreSQL and data transformation best practices
• Understanding of mobile analytics platforms (e.g., Adjust, Mixpanel) is a strong plus
• Good understanding of scalable data architectures
• Familiarity with secure handling of external client data and privacy considerations

Engagement Expectations

• Clear communication in English, ability to join weekly syncs
• Deliverables tracked via tools such as Jira, Notion, or Asana
• Source code must be delivered via GitHub with proper documentation
• At least 2 hours of timezone overlap with US West (PST/PDT) required
• Reasonable responsiveness via Slack (or similar) during overlap hours