What are the responsibilities and job description for the Google Cloud Platform Data Engineer (Python) position at CrackaJack Digital Solutions?
Job Details
Job Title: Data Engineer Google Cloud Platform & Python Development
Location: Houston, TX
Location: Houston, TX
Key Responsibilities
- Design, develop, and maintain reliable and scalable data pipelines on Google Cloud Platform using tools like Dataflow, BigQuery, Pub/Sub, and Cloud Composer.
- Write efficient and reusable Python scripts and modules for ETL/ELT workflows and data transformations.
- Collaborate with data scientists, analysts, and other engineers to integrate data from various sources, ensure data quality, and optimize performance.
- Build and manage data lake and data warehouse solutions leveraging BigQuery and Cloud Storage.
- Automate data validation and monitoring workflows for data integrity and reliability.
- Implement CI/CD pipelines for data engineering workflows using tools like Cloud Build, GitHub Actions, or Jenkins.
- Monitor and optimize job performance, cost efficiency, and error handling across Google Cloud Platform services.
- Maintain proper documentation of data flows, schemas, and transformation logic.
Requirements
Technical Skills
- Strong proficiency in Python, with experience in writing scalable, modular, and testable code.
- Solid experience with Google Cloud Platform especially BigQuery, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow).
- Experience with SQL and building optimized queries for large-scale data processing.
- Hands-on experience with data orchestration tools like Apache Airflow (Composer preferred).
- Knowledge of data modeling, data warehousing concepts, and data governance best practices.
- Familiarity with Docker, Terraform, or Kubernetes is a plus.
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