About the Role:
We’re looking for passionate and motivated entry-level Data Engineers (including fresh graduates) who are excited to learn, build, and support scalable data systems. You’ll work alongside experienced engineers and data professionals to gain exposure to the modern data stack and develop strong foundations in data engineering.
What You’ll Do:
- Assist in building, testing, and maintaining data pipelines and ETL/ELT workflows.
- Work with large datasets across different platforms and formats (CSV, JSON, APIs, databases).
- Support data ingestion, transformation, and loading processes under supervision.
- Collaborate with analysts and data scientists to ensure clean, usable data.
- Learn to use industry tools such as SQL, Python, Airflow, and cloud data warehouses (Snowflake, Redshift, BigQuery).
Who You Are:
- A recent graduate in Computer Science, Engineering, IT, or a related field.
- Basic knowledge of SQL and at least one programming language (preferably Python).
- Curious about working with data and willing to learn new tools and technologies.
- Strong problem-solving skills, attention to detail, and willingness to ask questions.
- A good communicator and team player.
Bonus Skills (Nice to Have):
- Academic projects or internships involving data.
- Exposure to cloud platforms like AWS, Azure, or GCP.
- Familiarity with version control tools like Git.
What We Offer:
- Structured onboarding and mentorship from experienced engineers.
- Real-world experience with the latest data engineering tools and practices.
- A friendly, collaborative team environment.
- Flexible work options and a focus on learning and development.
- Opportunities for growth into mid-level roles based on performance.