Data Engineer

Description:
We are looking for an experienced GCP Data Engineer with 5-8 years of hands-on experience to join our team.
The ideal candidate will have extensive practical knowledge in SQL, Python, data modeling, and solving complex ETL/ELT challenges.
In this role, you will actively design, develop, and maintain data pipelines and architectures within Google Cloud Platform (GCP) to support data-driven decision-making.
Key Responsibilities:
Data Modeling: Create and maintain data models and schemas to support business intelligence and reporting needs.
Ensure data integrity and consistency across various sources.
Data Engineering: Design, build, and manage scalable data pipelines and ETL/ELT processes using GCP tools such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
SQL Development: Write efficient and complex SQL queries for data extraction, transformation, and analysis.
Optimize query performance for large datasets.
Python Programming: Develop Python scripts and applications for data processing, automation, and integration with GCP services.
Problem Solving: Troubleshoot and resolve data-related issues, ensuring data accuracy and performance. Implement best practices for data management and optimization.
Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
Documentation: Maintain comprehensive documentation for data pipelines, models, and processes.
Ensure clear communication of technical concepts to non-technical stakeholders.
Qualifications:
Education: Bachelors degree in Computer Science, Data Engineering, Mathematics, or a related field.
Advanced degree is a plus.
Experience: 5-8 years of hands-on experience as a Data Engineer, particularly with GCP services and tools.
Extensive practical experience in SQL and Python is essential.
Technical Skills:
Proficiency in SQL for querying and managing large datasets.
Strong programming skills in Python for data processing and automation.
Experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Expertise in data modeling and designing data architectures.
Solid understanding of ETL/ELT processes and best practices.
Problem-Solving: Demonstrated ability to tackle complex data problems and implement effective solutions.
Communication: Good verbal and written communication skills.
Ability to convey technical information to a non-technical audience.
Preferred Skills:
Experience with other cloud platforms (e.g. Azure) is a plus.
Familiarity with data visualization tools (e.g., Looker, Power BI) is advantageous.
Education: Bachelors Degree