Description

Build and manage scalable data pipelines and infrastructure to support data-driven insights.

This role is on-site.

Responsibilities

• Architect and maintain scalable data pipelines using Python.
• Design and implement data models and schemas aligned with business objectives.
• Develop and optimize data processing workflows using Apache Spark or Pandas.
• Monitor, troubleshoot, and fine-tune pipelines for performance, reliability, and scalability.
• Ensure data quality and integrity across all processing stages.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency in Python programming.
• Hands-on experience with Apache Spark or Pandas.
• Experience with SQL and NoSQL database systems.
• Familiarity with cloud platforms such as AWS or Azure.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience collaborating with data scientists and analysts to meet specific data requirements.

Key Skills

Education

Any Graduate