• Assist in designing, building, and maintaining ETL (Extract, Transform, Load) pipelines.

• Clean, transform, and organize raw data into formats suitable for analysis.

• Work with structured and unstructured data from various sources.

• Collaborate with team members to develop and implement data models and schemas.

• Optimize data systems for performance, scalability, and reliability.

• Ensure data quality by writing and maintaining automated validation scripts.

• Support the team in documenting data workflows and systems.

• Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.

Basic understanding of data engineering concepts and tools.

Proficiency in Python, SQL, or a similar programming language.

Familiarity with databases such as MySQL, PostgreSQL, or MongoDB.

Understanding of cloud platforms like AWS, GCP, or Azure.

Strong problem-solving skills and attention to detail.

Eagerness to learn and adapt to new tools and technologies.

Preferred:

Experience with data processing frameworks like Apache Spark or Hadoop.

Knowledge of workflow orchestration tools like Apache Airflow or Prefect.

Familiarity with data warehouse solutions such as Snowflake, Redshift, or BigQuery.

Understanding of version control systems (e.g., Git).

Exposure to data visualization tools like Tableau or Power BI.

• Basic understanding of front-end technologies like HTML, CSS, and JavaScript.

• Familiarity with front-end frameworks such as React, Angular, or Vue.js (any one is a plus).

• Knowledge of back-end technologies like Node.js, Python (Django/Flask), or PHP.

• Familiarity with databases like MySQL, PostgreSQL, or MongoDB.

• Basic understanding of RESTful APIs and version control systems like Git.

• Strong problem-solving skills and eagerness to learn.

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• Hands-on experience with real-world data engineering projects.

• Mentorship and guidance from experienced data professionals.

• Flexible working hours and remote work options.

• Certificate of Internship and Letter of Recommendation upon successful completion.

• Opportunity for a full-time role based on performance.