Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 18 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
GCP Data Engineer
GCP services: BigQuery
GCS
Cloud Composer
Cloud Functions
Airflow
SQL
PythonProgramming
Apache Airflow
CI/CD pipelines
ETL/ELT processes
and cloud-native architecture.
GCP Data Engineer - Google Cloud Platform (GCP)
Job Details
Job Title: Google Cloud Platform Data Engineer
Key Responsibilities:
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (Google Cloud Platform).
- Develop and optimize data workflows using Cloud Composer (Apache Airflow).
- Implement data ingestion and transformation processes using BigQuery, Cloud Storage (GCS), and Cloud Functions.
- Write efficient and complex SQL queries for data analysis, transformation, and reporting.
- Develop reusable and modular Python scripts for data processing and automation.
- Collaborate with data analysts, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and security across all stages of the pipeline.
- Monitor and troubleshoot data workflows and infrastructure performance.
- Document technical solutions and maintain best practices for Google Cloud Platform data engineering.
Required Skills & Qualifications:
- Strong hands-on experience with Google Cloud Platform services: BigQuery, GCS, Cloud Composer, Cloud Functions, and Airflow.
- Proficiency in SQL for querying and manipulating large datasets.
- Intermediate to Advanced Python programming skills for data engineering tasks.
- Experience with orchestration tools like Apache Airflow.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Understanding of data modeling, ETL/ELT processes, and cloud-native architecture.
- Excellent problem-solving and communication skills.
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