Data Engineer Intern

The Data Engineering Internship at Dlytica provides hands-on experience in building data pipelines, working with cloud platforms, and managing data for analytics and AI-driven solutions. You’ll work with experienced professionals to develop practical skills in Python, SQL, Spark, and modern data engineering technologies.

Role Summary:
As a Data Engineering Intern at Dlytica, you’ll be part of a team building scalable, efficient, and reliable data pipelines that power analytics and AI-driven decision-making. This role is ideal for someone eager to work hands-on with big data technologies and cloud platforms and grow in a fast-paced, real-world data environment.

Key Responsibilities:

• Assist in building and maintaining ETL/ELT pipelines using Python, SQL, and Spark.
• Support integration of data from diverse sources (databases, APIs, logs, etc.).
• Help design and optimize data storage solutions (e.g., data lakes, warehouses).
• Collaborate with data scientists and analysts to enable seamless data access.
• Participate in debugging and performance tuning of pipelines.
• Document data flows and pipeline processes.

Requirements:

• Completed a bachelor’s in computer science, IT, or a related field.
• The candidate must possess a strong understanding of SQL and Python.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and data tools is a plus.
• Good problem-solving and communication skills.
• Passion to learn and work in real data environments.

What You’ll Gain:

During the Data Engineering Internship, you’ll gain practical experience working with real-world data pipelines and modern data engineering tools. The internship will help you learn how to collect, transform, process, and organize data from different sources.

You’ll strengthen your skills in Python, SQL, Spark, ETL/ELT processes, data warehouses, data lakes, and cloud platforms such as AWS, GCP, and Azure. In addition, you’ll understand how data engineering supports analytics, machine learning, and AI applications.

Working alongside experienced professionals at Dlytica, you’ll develop problem-solving, debugging, documentation, and collaboration skills. These experiences will help you build a strong foundation for a career in data engineering.