Job Description:
We are looking for a motivated Junior Data Engineer to join our MLOps & Data Engineering team. In this role, you will assist in building and maintaining reliable data pipelines and infrastructure that support machine learning and analytics projects. You will work closely with senior engineers and data scientists to ensure data quality, availability, and efficient processing.
Key Responsibilities:
- Support the design, development, and maintenance of scalable data pipelines for ingestion, transformation, and storage.
- Assist in cleaning, organizing, and validating large datasets to ensure data quality.
- Collaborate with data scientists and ML engineers to provide timely and reliable data access.
- Help monitor and troubleshoot data workflows and pipeline performance.
- Participate in automating data workflows using scripting and orchestration tools.
- Contribute to documentation and best practices for data engineering processes.
- Learn and apply cloud technologies and data management tools.
Requirement :
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
- Basic proficiency in programming languages such as Python, SQL, or Java.
- Understanding of database concepts and data warehousing.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data processing frameworks is a plus.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Eagerness to learn and grow in the field of data engineering.
