Data Engineer Internship
Metasys · 18 hours ago
Role Overview
We are looking for a detail-oriented Data Engineer Intern to support the design, development, and maintenance of data pipelines and data infrastructure. This internship provides hands-on experience working with large datasets, data workflows, and modern data engineering tools in a real-world environment.
This role is ideal for students or recent graduates interested in data engineering, backend systems, and data platform development.
Internship Details
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Duration: 3 months, with potential extension based on performance
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Work Mode: Remote
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Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity
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Working Hours: 8 hours per day
Key Responsibilities
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Assist in building and maintaining data pipelines and ETL/ELT workflows
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Support data ingestion from multiple sources (APIs, databases, files)
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Help design and optimize data models and schemas
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Perform data cleaning, validation, and quality checks
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Work with structured and semi-structured data
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Support data warehousing and analytics use cases
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Document data processes, pipelines, and workflows
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Collaborate with data scientists, analysts, and engineers
Required Skills & Qualifications
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Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Systems, or related field
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Proficiency in Python or SQL
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Basic understanding of databases
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Knowledge of data structures and algorithms
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Strong analytical and problem-solving skills
Preferred / Technical Skills
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Familiarity with ETL tools or frameworks
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Exposure to cloud platforms (AWS, GCP, or Azure)
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Understanding of data warehouses
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Knowledge of version control (Git)
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Basic understanding of data security and governance
What You Will Gain
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Hands-on experience building real-world data pipelines
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Exposure to modern data engineering tools and cloud platforms
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Experience working with cross-functional data teams
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Mentorship from experienced data engineers
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Certificate of Internship Completion upon successful completion
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Opportunity for paid or full-time conversion based on performance
Originally posted on Himalayas