Description

You will own the design, development, and optimization of enterprise data architectures and data models.

This role is on-site.

Responsibilities

• Implement and maintain ETL/ELT pipelines for large-scale data processing across cloud environments.
• Build solutions for efficient ingestion, transformation, and consumption of enterprise data from multiple sources.
• Develop and manage data solutions across PaaS and cloud environments, ensuring performance and reliability.
• Support cloud modernization and data platform migration initiatives for enterprise systems.
• Collaborate with Data Scientists to support ML/AI workloads and data-driven applications.

Required Skills

• 5+ years of professional experience in Data Engineering.
• Expertise in ETL/ELT processes.
• Proficiency in Cloud Computing, specifically Azure.
• Strong command of Big Data technologies.
• Deep knowledge of SQL and Data Warehousing principles.
• Experience developing solutions using Python and Java.
• Familiarity with Data Architecture and data modeling.
• Experience building high-performance solutions using distributed computing.

Key Skills

Education

Any Graduate