
Data Engineer Intern
4 weeks ago
We are looking for a motivated and curious Data Engineering Intern to join our growing data team. This role is an exciting opportunity for students or early-career professionals to gain hands-on experience building and maintaining data pipelines, databases, and infrastructure that support real-world analytics and data-driven decision-making.
As a Data Engineering Intern, you will work alongside experienced engineers, analysts, and product teams to support data projects from ingestion to visualization. You will gain exposure to industry-grade tools and technologies in a supportive and fast-paced environment.
Job Responsibilities:
- Assist in designing and maintaining scalable data pipelines to collect, process, and store both structured and unstructured data.
- Learn to work with SQL, Python, to support data ingestion, transformation, and cleaning.
- Support database tasks such as schema design, query optimization, and performance tuning across relational and NoSQL systems.
- Help implement and test ETL workflows to integrate data from APIs, logs, and third-party sources.
- Collaborate with data scientists and analysts to understand business data needs and assist in preparing datasets for analytics and reporting.
- Support the monitoring and debugging of existing pipelines, learning to diagnose and resolve common issues.
- Document workflows, tools used, and data handling best practices to contribute to internal knowledge-sharing.
- Stay updated with emerging trends and technologies in data engineering
Job Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Basic understanding of data processing concepts such as ETL, databases, and APIs (school projects or self-learning counts).
- Some experience or familiarity with SQL, Python, or Java.
- Interest in big data technologies (e.g., Hadoop, Kafka,Flink) frameworks.
- Strong analytical thinking, problem-solving ability, and eagerness to learn.
- Good communication and teamwork skills.
- Bonus: Familiarity with data visualization tools like Tableau, Power BI, or Looker.
- Availability for a full-time internship for at least 3-6 months is preferred.
- Curiosity about working with cloud platforms (e.g., AWS, GCP, Azure) and modern data warehouses (e.g., Snowflake, Redshift).
Tableau
Big Data
Pipelines
Hadoop
ETL
Data Engineering
SQL
Python
Performance Tuning
GCP
Visualization
Teamwork Skills
Power BI
Databases
Data Visualization
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