Description

You will build and maintain scalable data pipelines using modern data platforms.

This role is on-site.

Responsibilities

• Design and implement robust data ingestion and transformation workflows.
• Optimize large-scale data processing jobs for performance and cost.
• Maintain data quality and reliability across AWS-based infrastructure.
• Collaborate with stakeholders to define data requirements and schema standards.

Required Skills

• 3+ years of hands-on experience in data engineering.
• Proficiency in Python for scripting and data manipulation.
• Strong command of PySpark and Apache Spark for distributed processing.
• Experience with AWS cloud services and data storage solutions.
• Deep knowledge of SQL for querying and data modeling.
• Practical experience with Databricks environments.
• Any Graduate degree.

Preferred Skills

• Experience with real-time streaming data pipelines.
• Familiarity with CI/CD practices for data infrastructure.

Key Skills

Education

Any Graduate