Data Engineering

As a Manager, Data Engineering & Analytics, you will lead the data analytics team and drive the overall data strategy.

This hybrid role combines leadership in data engineering and data analysis, with a strong focus on Azure Data Services and scalable architecture.

You will be responsible for managing data pipelines, ensuring data quality, optimizing infrastructure, and guiding advanced analytics efforts including AI/ML.

Key Responsibilities:

• Lead and manage a team of local and remote Data Analysts.
  
  
• Design, build, and maintain scalable and efficient data pipelines and architecture.
  
  
• Ensure data quality, governance, security, and compliance.
  
  
• Perform ETL operations across multiple data sources and platforms.
  
  
• Improve and optimize data storage, retrieval, and scalability.
  
  
• Collaborate across business units to deliver data-driven solutions.
  
  
• Drive initiatives in advanced analytics, AI/ML, and emerging data technologies.
  
  
• Own and manage Power BI reporting framework and delivery.
  
  
• Manage analytics project timelines and deliverables.
  
  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  
  
• 5+ years of experience in data engineering and analytics roles.
  
  
• Strong proficiency in Python, SQL, and Azure cloud platform.
  
  
• Experience with big data tools (e.g., Spark, Hadoop, Kafka).
  
  
• Knowledge of data modeling, data warehousing, and architecture.
  
  
• Strong leadership, project management, and communication skills.
  
  

Interested candidates who wish to apply for the advertised position, please click on Apply Now.

We regret that only shortlisted candidates will be notified.

Job Code: ANNH

EA License: 01C4394

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