Job Description

Responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets by designing, implementing, and optimizing data pipelines in cloud environments, ensuring data integration, transformation, and availability. This is a functional support position, not a development role.

- Grade Specific

Key Responsibilities:

• Design and maintain data pipelines using Databricks and Data Lake
• Ensure data quality, security, and efficiency in cloud environments.
• Execute advanced SQL queries for data analysis and validation.
• Automate processes using Python to optimize workflows.
• Develop interactive dashboards and data models in Power BI and Power Query to generate actionable insights.
• Collaborate on data integration and transformation projects focused on advanced analytics.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Minimum 1 year in data engineering and cloud environments.
• Experience in designing and optimizing data pipelines.
  
  
• Technical Skills:
  • Advanced SQL.
  • Python (preferred) for automation.
  • Power BI and Power Query for data visualization and modeling.
  • Familiarity with data architecture and security in cloud environments.