
Data Engineer
5 hours ago
Location: Chennai, India (On-site)
Duration: 3 months
Stipend: Unpaid
Eligibility:
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
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