Job Title : Data Engineer

We are seeking a skilled Data Engineer with 3+ years of experience to design, build, and maintain our robust and scalable data infrastructure. You will play a key role in developing reliable data pipelines, ensuring data availability, and supporting our data-driven initiatives.

Key Responsibilities:

- Design, construct, install, and maintain highly scalable data pipelines using Python, SQL, and Airflow.

- Manage and optimize data storage and retrieval across our diverse database systems, including ClickHouse, MySQL, and Snowflake.

- Develop and deploy containerized data applications within a Kubernetes environment on major cloud platforms (AWS/Azure).

- Collaborate with data analysts and scientists to provide clean, transformed data for analytics and machine learning projects.

- Implement best practices for data governance, version control (Git), and pipeline reliability.

Qualifications & Required Skills :

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

- 3+ years of professional experience in a data engineering role.

- Strong proficiency in Python (Pandas, NumPy, Requests, SQLAlchemy) and advanced SQL.

- Hands-on experience with ClickHouse and MySQL.

- Proven expertise in building and orchestrating pipelines with Apache Airflow.

- Experience with Docker, Kubernetes, and working in Linux/Unix environments.

- Familiarity with cloud services (AWS, Azure) and cloud data warehouses (Snowflake).