Job Summary

We are seeking an experienced ETL Engineer with solid expertise in Google Cloud Platform (GCP), Dataflow, Python, and Oracle to design, develop, and optimize scalable data integration and processing solutions. The ideal candidate should have hands-on experience building cloud-native ETL pipelines, processing large datasets, and delivering reliable data solutions for enterprise environments.

Key Responsibilities
- Design, develop, and maintain ETL pipelines using GCP Dataflow.
- Build scalable batch and streaming data processing solutions.
- Develop data transformation and automation scripts using Python.
- Extract, transform, and load data from Oracle and other enterprise data sources.
- Optimize ETL workflows for performance, scalability, and reliability.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
- Monitor ETL jobs, troubleshoot production issues, and ensure data quality.
- Implement best practices for data governance, security, and documentation.





Required Skills
- 6+ years of experience in ETL/Data Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Expertise in Google Cloud Dataflow.
- Strong programming skills in Python.
- Experience working with Oracle Database and SQL/PL-SQL.
- Knowledge of ETL design patterns, data integration, and data transformation.
- Experience with version control (Git) and CI/CD practices.
- Excellent analytical, troubleshooting, and communication skills.

Preferred Qualifications
- Experience with Apache Beam.
- Knowledge of BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
- Exposure to Airflow or other orchestration tools.
- Familiarity with Agile/Scrum methodologies.

5 Primary Skills
- ETL Engineering
- Google Cloud Platform (GCP)
- Google Cloud Dataflow
- Python
- Oracle Database & SQL

📌 ETL Engineer (India)
🏢 Durapid technologies
📍 India