Description

You will design and implement end-to-end cloud-based data solutions in Azure, covering ingestion, training, deployment, and monitoring.

This role is hybrid.

Responsibilities

• Architect distributed systems using Azure Data Lake, Databricks, Spark, and MapReduce.
• Design data models for relational and NoSQL database systems.
• Build AI/ML pipelines from ingestion through monitoring.
• Ensure data security, governance, and effective documentation using tools like Visio or Lucidchart.

Required Skills

• 5+ years of hands-on data engineering with Spark, Hadoop, and Databricks.
• Deep expertise in Azure cloud data services and distributed computing.
• Strong proficiency in relational and non-relational database design.
• Experience with Python and SQL scripting.
• Proven track record of implementing cloud-based data solutions.
• Bachelor’s degree (4-year) in Computer Science, Data Science, or Information Systems.

Preferred Skills

• Advanced knowledge of big data technologies and data visualization.
• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Graduate