Junior Data Engineer

Junior Data Engineers are responsible for managing and optimizing data collection, storage, and retrieval processes. They focus on transforming raw data into usable formats for analysis, ensuring data quality, and supporting data infrastructure. This role serves as a foundational step in a data engineering career, offering exposure to various aspects of data handling and processing.

Responsibilities:

• Develop and maintain data pipelines for efficient data flow from various sources.
• Handle data storage solutions, ensuring secure and efficient data accessibility.
• Implement processes for data transformation, cleansing, and preparation for analysis.
• Work with data scientists and analysts to understand data needs and provide requisite support.
• Maintain clear documentation of data processes and architectures.
• Identify and rectify data-related issues, ensuring the integrity and availability of data.
• Monitor and ensure the accuracy and consistency of data.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proficiency in SQL and experience with database technologies.
• Familiarity with programming languages such as Python is a must, and other programming languages such as Java or R.
• Basic understanding of data warehousing concepts and ETL processes.
• Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) is advantageous.
• Prior internships or projects related to data engineering are beneficial but not always required.
• Strong analytical and problem-solving abilities, attention to detail, and effective communication skills.

If you are interested, you can apply by clicking the "Easy Apply" button on this job posting or you can fill out our application form here: https://bit.ly/SMHiringForm