Junior Data Enginee
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Key skills for this role
About the Role
V&V Holding is seeking a Junior Data Engineer to support the development, maintenance, and optimization of data systems. The role involves building data pipelines, ensuring data quality, and collaborating with cross-functional teams to enable data-driven decision-making.
Key Skills for This Role
Responsibilities
- Support the development, maintenance, and optimization of data systems
- Assist in the design of data pipelines
- Ensure data quality across various platforms
- Monitor data workflows and troubleshoot data related issues
- Validate data accuracy
- Support integration of data from multiple sources
- Document data processes
- Implement best practices for data management and governance
Requirements
- Strong analytical thinking and problem solving abilities
- Solid understanding of databases, data structures, and data processing concepts
- Familiarity with programming languages for data related tasks
- Knowledge of SQL and data transformation techniques
- Detail oriented and organized
- Strong communication skills
Full Job Posting
Overview
- As a Junior Data Engineer, you will support the development, maintenance, and optimization of data systems that enable efficient data collection, processing, storage, and analysis.
Responsibilities
- Work with structured and unstructured data.
- Assist in the design of data pipelines.
- Ensure data quality across various platforms and business applications.
- Collaborate with cross functional teams to understand data requirements.
- Transform raw information into usable datasets.
- Contribute to data driven decision making processes.
- Monitor data workflows and troubleshoot data related issues.
- Validate data accuracy.
- Support integration of data from multiple sources.
- Document data processes.
- Improve system performance.
- Implement best practices for data management and governance.
Qualifications
- Strong analytical thinking and problem solving abilities.
- Genuine interest in data engineering and technology.
- Solid understanding of databases, data structures, and data processing concepts.
- Familiarity with programming languages commonly used for data related tasks.
- Knowledge of SQL and data transformation techniques.
- Detail oriented and organized.
- Ability to handle multiple priorities in a fast paced environment.
- Strong communication skills.
- Ability to collaborate effectively with technical and non technical stakeholders.
- Commitment to data accuracy, continuous learning, and process improvement.
- Ability to adapt to evolving technologies and learn new tools quickly.
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