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 BigQuery.
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 BigQuery.
- 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 (PowerCenter / Cloud / IICS).
- Proficiency in Python and SQL.
- Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
- 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
(ref:hirist.tech)
