Description

You will design and implement scalable data pipelines, services, and data use cases on AWS.

This role is on-site.

Responsibilities

• Develop and automate data pipelines and platform services using Python and SQL.
• Operate and optimize the data platform, ensuring data security and governance.
• Provide consulting to IT and business teams on data modeling and integration.
• Support data platform operations to improve reliability, performance, and cost efficiency.

Required Skills

• 3-5 years of data engineering experience.
• Proficient in Python for building and automating data pipelines.
• Strong SQL skills for querying, transforming, and validating data.
• Hands-on experience with core AWS services used in data engineering.
• Experience delivering production-grade pipelines with attention to scalability and performance.
• Knowledge of data modeling for designing reliable data structures.

Preferred Skills

• Experience with AWS Lambda for event-driven data processing.
• Data visualization experience to support analytics consumption.
• Experience with AWS S3 for data storage and pipeline integration.

Key Skills

Education

Any Graduate