Description

You will design, develop, and maintain scalable data pipelines and real-time processing solutions using AWS services.

This role is on-site.

Responsibilities

• Build and maintain data pipelines using AWS Kinesis, Glue, Lambda, Step Functions, and Redshift.
• Integrate data from diverse sources into a centralized data warehouse while ensuring consistency and security.
• Develop and manage ETL processes to transform and load data into Redshift or other databases.
• Implement real-time streaming data solutions using Kinesis and Lambda.
• Optimize SQL queries and database performance for efficient retrieval and reporting.

Required Skills

• 5+ years of hands-on experience with AWS services, specifically Kinesis, Glue, Lambda, Step Functions, and Redshift.
• Expert-level SQL knowledge with a proven track record of writing complex queries and optimizing database performance.
• Proficiency in Node.js (preferred) or another primary programming language.
• Strong understanding of ETL processes, data warehousing concepts, and real-time data processing.
• Experience automating data workflows using orchestration tools like AWS Step Functions.
• Ability to design scalable and efficient data architectures.

Preferred Skills

• Experience with additional AWS data services beyond the core stack listed.
• Background in data security and governance within cloud environments.

Key Skills

Education

Any Graduate