Job Summary
As a Junior Data Engineer, you will play a key support role in helping to build and maintain data systems that support our data-driven operations. Working closely with senior team members, you will assist in collecting, processing, and storing data from multiple sources. You will gain hands-on experience with data tools and workflows while contributing to the preparation of data used for analytics and machine learning projects.
This is an excellent opportunity for someone starting their career in data engineering who is eager to learn and grow in a high-impact, AI-focused environment.
Key Responsibilities
- Assist in collecting structured and unstructured data (text, image, audio, video) from internal and external sources.
- Support the development and maintenance of automated data pipelines for ingestion and storage.
- Help preprocess and clean data to ensure quality and consistency.
- Monitor and troubleshoot existing data workflows under supervision.
- Maintain documentation of data processes, schemas, and workflows.
- Perform basic exploratory data analysis (EDA) to help understand datasets.
- Ensure proper handling of data privacy and compliance requirements as directed.
- Collaborate with data scientists and engineers to deliver data required for analysis or ML projects.
Qualifications
Education:
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field.
Technical Skills:
- Basic proficiency in Python and SQL.
- Familiarity with tools like Jupyter Notebook, Pandas, and NumPy.
- Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
- Basic understanding of data structures and algorithms.
- Awareness of data privacy principles and responsible data handling.
Soft Skills:
- Strong willingness to learn and take feedback.
- Good communication and teamwork abilities.
- Detail-oriented and organized.
Reporting
This position reports to the Machine Learning Lead.
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