Description

You will design and implement enterprise data architecture solutions, leading data strategies and standards for data-centric projects.

This role is on-site.

Responsibilities

• Lead the development of enterprise data strategies, standards, processes, and tools.
• Create real-time analytics models using Databricks to generate actionable insights.
• Manage and schedule data pipelines in Azure Data Factory for seamless ingestion.
• Optimize data processing and transformations using Apache Spark, Scala, and Python.
• Ensure data security by implementing dynamic data masking in Azure SQL DB.

Required Skills

• 4+ years of experience in data architecture or engineering roles.
• Proficiency with Apache Spark for large-scale data processing.
• Strong programming skills in Scala and Python.
• Hands-on experience with Azure SQL DB.
• Experience managing pipelines in Azure Data Factory.
• Practical knowledge of Databricks for analytics modeling.
• Experience implementing Delta Lake and Adaptive Query Execution.
• Ability to use Power BI for data visualization and reporting.

Preferred Skills

• Any graduate degree.

Key Skills

Education

Any gradudate