Data Engineer Intern

About The Role We are looking for a motivated Data Engineer Intern to join our team and help build data pipelines, analytics dashboards, and automation systems that support real business operations. In this role, you will work with data from POS systems, HR platforms, operational databases, and customer feedback systems to build structured datasets and reporting pipelines. This internship provides hands-on experience with real production data and analytics systems, rather than purely academic datasets.

Key Responsibilities

• Build and maintain ETL pipelines using Python and SQL.
• Process structured and semi-structured data such as JSON files, logs, and API responses.
• Support the development of Power BI dashboards for operational and business reporting.
• Clean, transform, and prepare operational datasets for analytics and reporting.
• Automate recurring reports and data workflows to improve efficiency.
• Work with real business datasets including sales, inventory, HR, and customer feedback data.
• Collaborate with the team to ensure data quality, accuracy, and consistency across systems.

Tech Stack

• SQL Server
• Python (Pandas, API integrations, data processing)
• Power BI
• JSON data handling
• Basic scripting and automation

Required Skills

• Strong fundamentals in SQL.
• Basic experience using Python for data analysis or data processing.
• Understanding of ETL pipelines and data transformation processes.
• Ability to work with messy real-world datasets and perform data cleaning.
• Strong analytical and problem-solving skills.
• Curiosity and willingness to learn new data tools and technologies.

Who Should Apply

• Recently completed B.E / B.Tech / B.Sc / MCA or equivalent in Computer Science, IT, or related fields
• Candidates interested in building a career in data engineering, analytics, or data infrastructure.
• Individuals who enjoy working with data and solving practical business problems.
• Candidates comfortable learning quickly and working with real-world datasets.

What You Will Gain

• Hands-on experience building production data pipelines.
• Exposure to real-world analytics engineering workflows.
• Experience working with business operations data such as sales, HR, and inventory systems.
• Opportunity to learn data automation, reporting, and analytics tools used in real organizations.