Data Engineering and Analytics Intern
Summary
Intern to clean, organize, and prepare data for analysis, build data pipelines, and write SQL queries to support analytics projects.
Be a part of something BIG!
We are looking for a Data Engineering & Analytics
Intern
to help clean, organize, and prepare data for analysis. This internship is suitable for someone who enjoys working with data and wants hands-on experience building data pipelines and supporting analytics projects.
Responsibilities
Clean and organize data from different sources Identify and fix data quality issues such as duplicates or missing values Support the development of data pipelines and workflows Write SQL queries for data extraction and transformation Assist with automating repetitive data tasks Prepare datasets for analysis and reporting Document data processes and workflows
Requirements
Educational background in Computer Science, Data Science, Engineering, or a related field Basic knowledge of Python and SQL Comfortable working with large datasets Understanding of data cleaning and validation concepts Good attention to detail and data accuracy
Preferred Skills
Familiarity with ETL tools or data workflows Basic knowledge of Git/version control Interest in automation and data engineering
What You'll Gain
Hands-on experience with real-world data projects Exposure to data engineering workflows and tools Opportunity to work with large datasets Practical skills relevant to future data engineering and analytics roles
We are looking for a Data Engineering & Analytics
Intern
to help clean, organize, and prepare data for analysis. This internship is suitable for someone who enjoys working with data and wants hands-on experience building data pipelines and supporting analytics projects.
Responsibilities
Clean and organize data from different sources Identify and fix data quality issues such as duplicates or missing values Support the development of data pipelines and workflows Write SQL queries for data extraction and transformation Assist with automating repetitive data tasks Prepare datasets for analysis and reporting Document data processes and workflows
Requirements
Educational background in Computer Science, Data Science, Engineering, or a related field Basic knowledge of Python and SQL Comfortable working with large datasets Understanding of data cleaning and validation concepts Good attention to detail and data accuracy
Preferred Skills
Familiarity with ETL tools or data workflows Basic knowledge of Git/version control Interest in automation and data engineering
What You'll Gain
Hands-on experience with real-world data projects Exposure to data engineering workflows and tools Opportunity to work with large datasets Practical skills relevant to future data engineering and analytics roles