About Internship

We are seeking enthusiastic Data Engineering Interns to join our team and assist in building and enhancing our cutting-edge data platform. This internship offers a hands-on opportunity to work on data pipelines, data warehouses, and data integration technologies. If you are a tech-savvy individual passionate about data engineering and eager to learn, we’d love to hear from you!

Key Responsibilities

• ETL Development:
  • Assist in designing and developing data pipelines for extracting, transforming, and loading (ETL) data from various sources into a centralized data warehouse.
• Data Warehouse Architecture:
  • Support the implementation and optimization of data warehouse architecture using open-source tools.
• Data Cleaning & Validation:
  • Perform data cleaning, validation, and quality checks to ensure datasets are accurate and consistent.
• Collaboration:
  • Work closely with senior engineers and analysts to understand data requirements and help deliver tailored solutions.
• Research & Feasibility Studies:
  • Conduct research on new data engineering tools and technologies, assessing their feasibility for implementation.
• Documentation:
  • Document workflows, processes, and configurations for easy reference and knowledge sharing.
• Testing & Debugging:
  • Participate in testing and debugging ETL processes and data workflows to ensure reliability.
• Version Control:
  • Use version control systems like Git to manage code and scripts effectively.

Required Skills and Qualifications

• Education:
  • Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field.
• Technical Skills:
  • Basic knowledge of SQL and familiarity with databases like PostgreSQL, MySQL, or similar.
  • Programming experience in Python or Java.
  • Familiarity with ETL concepts and data warehousing fundamentals.
  • Exposure to big data technologies such as Hadoop or Spark is a plus but not mandatory.
  • Understanding of data quality concepts and best practices.
  • Previous experience in creating a data warehouse is a significant plus.

Preferred Skills (Not Mandatory)

• Familiarity with open-source tools like Apache Airflow, Apache NiFi, or Talend.
• Understanding of data governance and compliance principles.
• Basic knowledge of metadata management or data cataloging tools (e.g., Apache Atlas, Amundsen).
• Experience with version control systems like Git.

This internship is an excellent opportunity to gain hands-on experience in data engineering, work with cutting-edge technologies, and develop a strong foundation in data management practices. Join us and be part of a dynamic team shaping the future of data platforms. Apply now!