Kavi Global - Data Integration Engineer - ETL Tools

Job Summary

We are seeking a highly experienced Data Integration Engineer with 10+ years of hands-on experience in designing, developing, and maintaining enterprise-grade data integration and ETL solutions.

The ideal candidate will have strong expertise in Informatica, Python, SQL, and cloud-based data platforms, with a particular focus on Google Cloud Platform (GCP) and Big Query.

This role requires close collaboration with technical and business teams to deliver reliable, scalable, and high-quality data pipelines.

Key Responsibilities

Design, develop, and maintain ETL workflows using Informatica for large-scale data integration.
Build and manage end-to-end data pipelines for data ingestion, transformation, and loading.
Use SQL and Python to process, transform, and analyze complex datasets.
Integrate data across multiple systems and platforms, including GCP and Big Query.
Ensure data quality, consistency, security, and reliability across all data integrations.
Optimize ETL and data pipeline performance to support high-volume data processing.
Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
Troubleshoot and resolve data integration and performance issues.

Required Skills & Experience

10+ years of experience in data integration and ETL development.
Strong hands-on experience with Informatica (Power Center / Cloud / IICS).
Proficiency in Python and SQL.
Hands-on experience with Google Cloud Platform (GCP) and Big Query.
Solid understanding of data integration best practices, ETL architecture, and performance optimization.
Experience working with large datasets in enterprise environments.

Nice To Have

Experience with cloud-native ETL tools or data orchestration frameworks.
Knowledge of data warehousing concepts and dimensional modeling.
Exposure to data governance, security, and compliance standards

(t.tech)