Data Engineering Intern

37 people have applied

Mirpur, Dhaka · onsite · internship

Workplace address: Mirpur 10, Dhaka, Dhaka, 1216, BD

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About the role

Build practical data engineering skills at a confidential partner company under the guidance of the Senior Data Engineer. Support data preparation, analysis and reliable workflows across company products and client engagements. Tasks will be supervised and may span different business domains. Responsibilities - Inspect datasets and help identify missing values, duplicates and inconsistent records. - Write reviewed Python and SQL scripts for cleaning, validation and exploratory analysis. - Document data sources, field definitions and processing steps. - Support reproducible notebooks and the organization of datasets and model artifacts. - Add tests and documentation, share findings and raise questions with your mentor. Early success Complete a supervised data-quality task, produce a repeatable analysis and explain your findings clearly. Current openings: 3. How to apply Apply through this ALHarih job page with your CV and a short note describing relevant work. A dataset-cleaning, SQL or pipeline example with checks for missing data, duplicates and reproducibility. Coursework and personal projects are welcome; describe what you learned. Share only material you have permission to disclose, and explain your own contribution. You can build a CV at https://alharih.com/resume-builder. Selection process Applications are reviewed against the published requirements. If invited, follow the role-specific assessment instructions in your ALHarih account. An invitation or completed assessment is not a job offer.

Requirements

- Basic Python and SQL, including tables, joins and data cleaning. - Familiarity with pandas or a similar analysis tool and basic statistics. - Interest in data engineering, analytics and machine learning. - Careful documentation, willingness to use Git and responsible handling of confidential data. - Academic projects, personal projects and relevant coursework are welcome; previous professional experience is not required. - Ability to explain data lineage and validate results using repeatable checks appropriate to your experience level.