Job Category: Data Engineer/ Architect
Job Type: Remote
Job Description
A leading organization is seeking an early-career Data Engineer to support the design, development, and maintenance of data solutions. This opportunity is ideal for recent graduates or professionals with up to two years of experience who have a strong foundation in data engineering, programming, and data pipeline development.
The Data Engineer will work with modern data platforms and technologies to build scalable data workflows, support data integration efforts, and contribute to the overall reliability and accessibility of business data.
Responsibilities
- Design, develop, and maintain data pipelines that support data integration and processing needs.
- Create and optimize SQL queries for data extraction, transformation, and analysis.
- Develop data engineering solutions using Python.
- Support the ingestion, transformation, and movement of data across systems and platforms.
- Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
- Troubleshoot and resolve issues related to data quality, pipeline performance, and data processing workflows.
- Assist with the ongoing enhancement and maintenance of data infrastructure and engineering processes.
- Contribute to data validation, testing, and operational support activities.
- Document data workflows, processes, and technical solutions.
Required Experience and Skills
- 0 to 2 years of experience in data engineering, software development, or a related technical field.
- Strong SQL skills with experience writing and optimizing queries.
- Experience developing solutions with Python.
- Knowledge of data pipeline architecture, development, and maintenance.
- Understanding of ETL and data transformation processes.
- Strong analytical and problem-solving abilities.
- Ability to work with complex datasets and data-driven applications.
- Strong communication and collaboration skills.
Preferred Experience and Skills
- Experience working with Google Cloud Platform (GCP).
- Familiarity with Claude tools.
- Experience supporting cloud-based data engineering environments.
- Knowledge of modern data integration and processing frameworks.
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