Associate Lead - Data Engineering

Responsibilities           Data Ingestion and Transformation: 

• Design and implement data pipelines to extract, transform, and load (ETL) 
  data from various internal business applications into Microsoft Fabric
  following a medallion framework.
• Ensure data quality, consistency, and accuracy throughout the ingestion 
  process.
• Prepare data for more advanced use cases, like AI and application 
  integration.Data Modeling and Analysis:
  Create data models and schemas that effectively represent the underlying 
  business processes and data relationships.
•  Create semantic models for different use cases to optimize data access 
  and performance.

Data Visualization and Reporting:

• Collaborate with business stakeholders to understand their reporting 
  needs and support them in creating interactive dashboards and 
  visualizations using Microsoft Power BI.
• Develop self-service reporting capabilities to empower users to explore 
  data independently.

 Data Governance and Stewardship: 

• Establish and maintain data governance policies and standards to ensure 
  data quality, security, and compliance.
• Promote data literacy and awareness within the organization.
  
  

Qualifications 

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong proficiency in Python and SQL.
• Knowledge of data warehousing and data modeling concepts.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team. 
  
  

 Preferred Qualifications

• Master's degree in Data Science or a related field.
• Experience with Microsoft Fabric (specifically Data Factory, Synapse Engineering, 
  and Power BI).
• Experience with cloud-based data platforms (e.g., Azure, AWS, GCP).
• Certifications in Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft 
  Azure Data Engineering or Microsoft Certified: Azure Data Scientist Associate.
  
  

If you are passionate about data analytics/data science, have a strong understanding of the Microsoft Fabric tool set, and are eager to make a significant impact on our organization, we encourage you to apply