We are looking for a motivated and detail-oriented Data Engineer who has recently graduated (2025 or 2026) and is eager to start their professional career. The ideal candidate should have strong fundamentals in data pipelines, ETL processes, and a passion for building scalable and efficient data solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
Work with large datasets and ensure data quality and reliability
Build and optimize data warehouses and data lakes
Collaborate with Data Analysts, ML Engineers, and cross-functional teams
Write clean, efficient, and well-documented code
Troubleshoot and resolve data pipeline issues
Participate in code reviews and follow best coding practices
Continuously learn new technologies and improve data engineering skills
Required Qualifications
Master’s degree in Computer Science, Information Technology, Data Science, or related field (Graduating 2025 or 2026)
1–3 years of experience (including internships, academic projects, or personal projects)
Strong knowledge of Python and/or SQL
Understanding of data structures, algorithms, and database concepts
Familiarity with relational and non-relational databases (SQL/NoSQL)
Basic understanding of ETL processes and data modeling
Preferred Qualifications
Experience with big data tools such as Apache Spark, Kafka, or Hadoop
Exposure to cloud platforms like AWS (S3, Glue, Redshift), Azure, or GCP (BigQuery)
Familiarity with workflow orchestration tools like Airflow or dbt
Knowledge of version control tools like Git
Familiarity with CI/CD pipelines and Agile methodologies
Experience working on real-world projects or GitHub portfolio
