Data Engineer - Internship

Location: Chennai, India (On-site)

Duration: 3 months

Stipend: Unpaid

2025 graduates only

Conversion: Opportunity for a full-time role based on performance

📌 Note: Please apply only if you are serious about joining us. This is a learning-focused internship, and we expect interns to be committed to upskilling themselves and contributing to real-world projects.

Role Overview

We are looking for a Data Engineer Intern who is eager to work with ClickHouse and analytical databases. No prior experience with ClickHouse is required - we will train you for this role. However, you must have a strong foundation in Linux, Python, SQL, and database concepts and a willingness to learn.

Responsibilities

• Set up, configure, and troubleshoot ClickHouse clusters for high availability and performance.
• Optimize SQL queries, indexing, and partitioning strategies for fast data retrieval.
• Implement ETL/ELT pipelines for data ingestion and processing.
• Work on data modeling to ensure efficient storage and querying.
• Tune ClickHouse performance through benchmark and optimization techniques.
• Monitor and resolve database performance and reliability issues.
• Collaborate with the engineering team to integrate ClickHouse into our analytics platform.

Must-Have Requirements

• Strong understanding of Linux commands and working in a terminal environment.
• Proficiency in Python for scripting and data processing.
• Solid knowledge of SQL and at least one relational or analytical database.
• Understanding of data modeling concepts for structured and semi-structured data.
• A strong willingness to learn and adapt to new technologies.

Nice to Have

• Experience with Docker and containerized environments.
• Familiarity with Big Data technologies.
• Exposure to dbt (Data Build Tool) and Apache Airflow for workflow automation.

Selection Process

Candidates will go through a technical and behavioral interview process:

Technical Round (45 min total)

• 30 min Python + SQL coding test (Basic to Intermediate difficulty)
• 15 min theoretical discussion on databases and data engineering concepts

Behavioral Round (15 min) to assess problem-solving skills and cultural fit

If you’re passionate about data engineering, performance optimization, and big data, we’d love to hear from you!