Description

Design and architect data solutions across complex on-premises and cloud environments.

This role is on-site.

Responsibilities

• Define Data & Analytics architecture and implement large-volume projects.
• Build data pipelines, ingestion processes, integrations, and transformations for data warehouses and marts.
• Evaluate Data Engineering tools and techniques to align with strategic objectives.
• Lead critical programs and act as the primary technical contact to resolve issues.
• Collaborate with management to align business process initiatives with data strategies.

Required Skills

• 14+ years of IT experience, including 12+ years in Data Engineering, Warehousing, and Modeling.
• 10+ years defining Data & Analytics architecture for large-volume projects.
• Expertise in hybrid infrastructure (on-cloud to on-premises and vice versa).
• Experience setting up Data Lakes and analytical environments.
• Proficiency with Python, PySpark, Kafka, Talend, and BODS.
• Expertise with relational SQL and NoSQL databases.
• Strong experience with data modeling tools like Erwin or ER Studio.
• Experience with visualization tools such as QlikView, Qlik Sense, or Tableau.
• Knowledge of message queuing, stream processing, and scalable big data stores.

Key Skills

Education

Any Graduate