Description

You will design and implement large-scale data and analytics architectures across hybrid cloud and on-premises environments.

This role is on-site.

Responsibilities

• Design, validate, and implement data architectures for on-cloud to on-premises migrations.
• Build data lakes, analytical environments, ingestion processes, and data warehouses or datamarts.
• Align business process initiatives with data engineering and analytics architecture strategies.
• Resolve integration issues and manage tool implementations for critical programs.

Required Skills

• 14+ years of IT experience with 12+ years in Data Engineering, Data Modeling, and Data Warehousing.
• 10+ years defining Data & Analytics architecture for large-volume projects, preferably on AWS.
• Proficiency in Python, PySpark, Kafka, APIs, Talend, and BODS.
• Strong experience with relational SQL and NoSQL databases.
• Expertise in data modeling using Erwin or ER Studio.
• Experience with message queuing, stream processing, and scalable big data stores.

Preferred Skills

• 7+ years collaborating with Agile teams.
• Experience with visualization tools like QlikView, Qlik Sense, or Tableau.

Key Skills

Education

Any Graduate