Google Cloud Platform
2 weeks ago
Key Responsibilities :
GCP & BigQuery Development :
- Design, implement, and optimize data pipelines and solutions in Google Cloud Platform (GCP), primarily focusing on BigQuery.
- Develop and maintain BigQuery data models and queries, ensuring performance optimization and cost management.
- Leverage BigQuery for large-scale data analysis, aggregations, and reporting.
Data Pipeline Development :
- Build and maintain data pipelines using Python, ensuring seamless data flow and transformations between systems.
- Utilize Apache Airflow or Google Composer for orchestration and automation of data workflows.
SQL Expertise :
- Write complex SQL queries to perform various data manipulations, transformations, and aggregations.
- Optimize and tune SQL queries for performance in BigQuery.
Collaboration & Documentation :
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure detailed documentation of work, including data pipeline design, query optimization strategies, and process workflows.
Solution Design & Architecture :
- Design scalable and efficient GCP solutions for data storage, transformation, and analytics.
- Work closely with architects and business teams to translate requirements into technical specifications and design robust data systems.
Continuous Learning & Best Practices :
- Stay up to date with the latest GCP technologies and best practices, contributing to the continuous improvement of the data engineering processes.
- Follow industry best practices for data security, data governance, and performance optimization in cloud environments.
Required Skills & Experience :
Experience :
- Minimum 5 years of hands-on experience working with Google Cloud Platform (GCP) and BigQuery.
Data Pipeline Expertise :
- Strong proficiency in Python for building and managing data pipelines, with a focus on data processing and automation.
SQL Skills :
- Expertise in writing complex SQL queries for data manipulation, aggregation, and analysis.
Cloud Orchestration :
- Experience with Apache Airflow or Google Composer for orchestrating and automating data workflows.
GCP Certifications (Good to Have) :
- GCP Solution Architect certification is highly preferred.
Collaboration & Communication :
- Ability to work collaboratively with team members and stakeholders from diverse backgrounds and skill sets.
Attention to Detail & Documentation :
- Strong attention to detail, ensuring all work is well-documented and follows best practices.
Preferred Qualifications :
Certifications :
- GCP Solution Architect - Certified is highly preferred.
Other Skills :
- Familiarity with other GCP services such as Cloud Storage, Cloud Functions, Dataflow, and Pub/Sub is a plus
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