ETL Engineer (GCP)

Job Description

Job Description -- ETL Engineer (GCP)

?? **Location:** Remote (Offshore)

?? **Experience:** 6 Years

?? **Employment Type:** Full-Time

Job Summary

We are seeking an experienced **ETL Engineer** with strong 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