Google Cloud Platform Data Engineer

Job Title: Google Cloud Platform Data Engineer

Location: Remote
Experience: 6+ Years

Job Description

We are looking for an experienced Google Cloud Platform Data Engineer to design, develop, and maintain scalable data solutions on Google Cloud Platform. The ideal candidate should have strong experience in Google Cloud Platform, Python, SQL, BigQuery, data pipelines, and cloud-based data engineering.

Required Skills:

• 6-8 years of experience in Data Engineering.

• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).

• Strong programming experience in Python.

• Advanced SQL skills and experience working with large datasets.

• Hands-on experience with BigQuery for data warehousing and analytics.

• Experience developing scalable ETL/ELT data pipelines.

• Strong experience with Apache Beam / Dataflow.

• Experience with Cloud Storage, Pub/Sub, Cloud Functions, and other Google Cloud Platform services.

• Experience with Apache Airflow / Cloud Composer for workflow orchestration.

• Good understanding of data modeling, data transformation, and data quality.

• Experience with PySpark or other distributed data-processing frameworks.

• Strong experience with Git, CI/CD, and Agile development practices.

Responsibilities:

• Design and develop scalable data pipelines using Google Cloud Platform services.

• Build and maintain data ingestion and transformation pipelines using Dataflow / Apache Beam.

• Develop efficient and optimized BigQuery data solutions.

• Write complex SQL queries for data transformation, validation, and analytics.

• Develop Python-based data processing and automation solutions.

• Implement workflow orchestration using Airflow / Cloud Composer.

• Integrate data from APIs, databases, files, and streaming sources.

• Implement data quality, validation, monitoring, and error-handling processes.

• Optimize pipeline performance, reliability, and cloud resource utilization.

• Participate in code reviews and maintain coding standards.

• Work closely with architects, analysts, developers, and business teams to deliver data solutions.

Must-Have:

Google Cloud Platform | Python | BigQuery | SQL | Dataflow | Apache Beam | Airflow/Cloud Composer | ETL/ELT | Data Engineering