Description

You design and implement data solutions to support analytical and AI/ML needs.

This role is on-site.

Responsibilities

• Architect data pipelines, implementing ETL/ELT workflows for batch and real-time ingestion.
• Optimize data storage architecture using indexing, partitioning, and caching for query performance.
• Implement automated workflows for data processing, testing, and deployment with health monitoring.
• Collaborate with data scientists and analysts to translate requirements into technical solutions.
• Maintain data engineering infrastructure, including Airflow scheduling and CI/CD pipelines.

Required Skills

• 7+ years of professional experience in data engineering.
• Expert proficiency in Python and SQL.
• Experience with data orchestrators such as Apache Airflow.
• Strong working knowledge of relational databases, specifically PostgreSQL and MySQL.
• Proficiency with version control systems including Git, GitHub, and GitLab.
• Ability to design and model data structures for efficient storage.

Key Skills

Education

Any Graduate