Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and systems to support business intelligence and data-driven decision-making. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and performance.

Key Responsibilities:

Develop and maintain data pipelines using ETL tools and techniques.
Design and implement data models and database schemas.
Ensure data quality and integrity through data validation and cleansing.
Optimize data infrastructure for performance and scalability.
Collaborate with stakeholders to understand data requirements and deliver solutions.

Requirements/Qualifications:

Experience with data warehousing concepts and technologies.
Proficiency in SQL and database management.
Experience with ETL processes and tools.
Strong programming skills in Python.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and analytical skills.

About the Company: Intellics Global Services provides technology solutions and services to businesses across various industries. They focus on helping clients leverage data and technology to achieve their strategic goals.