Globant - GCP Data Engineer

Job Description :

We are seeking a skilled GCP Data Engineer with strong expertise in Python and Google Cloud Platform services. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, enabling efficient data processing and supporting data-driven business initiatives.

Key Responsibilities :

- Design, develop, and maintain robust ETL/ELT pipelines for large-scale data ingestion, transformation, and processing.

- Build scalable and efficient data workflows using Python, PySpark, and related data processing libraries.

- Develop and optimize data models to support analytical and operational use cases.

- Implement data orchestration processes to ensure reliable and automated execution of data pipelines.

- Work with structured and unstructured datasets across multiple data sources.

- Leverage Google Cloud Platform services to build cloud-native data engineering solutions.

- Monitor, troubleshoot, and optimize data pipeline performance and reliability.

- Collaborate with cross-functional teams including Data Scientists, Analysts, and Application Development teams to support data requirements.

Required Skills & Experience :

- Strong expertise in Python, including data processing and manipulation libraries such as Pandas and PySpark.

- Hands-on experience in designing, developing, and maintaining ETL pipelines.

- Experience working with Google Cloud Platform services, including :

1. Vertex AI

2. Dialogflow

3. BigQuery

4. Dataproc

5. Dataflow

- Strong understanding of :

1. Data modeling

2. Data pipeline development

3. Data orchestration frameworks

4. Cloud-based data processing architectures

- Experience building scalable and efficient data engineering solutions in a cloud environment.

(ref:hirist.tech)