Data Engineer

Senior IT Data Engineer

The Senior IT Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures.

This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems.

Job Responsibilities

  • Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models. 
  • Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals. 
  • Implement advanced data governance frameworks and ensure robust data security measures. 
  • Optimize cloud costs by strategically using cloud resources and efficient data architectures. 
  • Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level. 
  • Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools. 
  • Oversee complex data pipeline orchestration and ensure seamless integration across systems. 
  • Interact with 3rd party vendors to incorporate new functionality and evaluate tools. 
  • Resolve complex escalations and situations, driving effective resolutions. 
  • Ensure adherence to data privacy and security practices to protect sensitive information. 
  • Communicate effectively with stakeholders to understand and address their needs through data visualization. 
  • Perform other assigned job-related duties that align with our organization’s vision, mission, and values and fall within your scope of practice. 

Qualifications

  • Education: Bachelor’s Degree or relevant experience. 
  • Preferred Certification(s): Any relevant IT Certification. 
  • Experience: 5+ years of relevant and practical experience. 

Special Skills:  

  • Advanced skills in data streaming and real-time data processing. 
  • Expertise in designing complex data architectures and scalable systems. 
  • Deep knowledge of big data technologies and extensive experience with data security measures. 
  • Ability to lead data architecture reviews and approvals. 

Soft Skills:  

  • Project Management: Learning and understanding complex data initiatives from conception to completion. 
  • Mentorship: Guiding junior team members in their professional development.
  • Strategic Thinking: Aligning data solutions with broader organizational goals.
  • Communication: Articulating data strategies to both technical and non-technical stakeholders. 
  • Problem-Solving: Resolving complex data challenges and escalations. 
  • Adaptability: Staying current with rapidly evolving data technologies and best practices. 
  • Creativity: Innovating new approaches to data pipeline design and optimization. 

 

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