
Senior Data Engineer
1 day ago
About This Role:
As a senior data engineer with our innovative team, you will be responsible for designing and implementing highly scalable, reliable, and secure data pipelines on GCP.
This is an excellent opportunity to showcase your skills in cloud computing, data engineering, and big data analytics.
- Design and implement efficient data processing workflows using GCS, BigQuery, and Airflow.
- Collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools.
- Optimize BigQuery performance through schema design, partitioning, clustering, and query optimization.
- Maintain and ensure the security and integrity of data lake and data warehouse environments.
- Audit and monitor data pipelines for consistent and reliable data delivery.
- Contribute to architecture decisions and promote best practices in data engineering and cloud usage.
Key Responsibilities:
Technical Requirements:
- Familiarity with Google Cloud Platform (GCP), particularly GCS, BigQuery, IAM, and Cloud Functions.
- Strong understanding of data modeling, data storage, access patterns, and integration.
- Experience with Apache Airflow for managing complex workflows.
- Proficient in Python scripting and automation, including working with APIs, data processing libraries, and custom operators in Airflow.
Benefits:
We offer a dynamic work environment where professionals can grow and develop their careers. Our company values innovation, teamwork, and customer satisfaction.
About Us:
We provide IT services to clients worldwide, focusing on software development, web design, cloud computing, cybersecurity, data engineering, data science, and machine learning.
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