Job Details: Job Summary

The Senior 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 to help drive better business outcomes. Your insights will help shape strategic decisions and enhance operational performance.

Essential Duties and Responsibilities:

• Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.
• Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.
• Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.
• Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards.
• Implement advanced data governance frameworks and ensure robust data security measures.
• Optimize cloud costs by strategically using cloud resources and efficient data architectures.
• Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.
• 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.

Education:

Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field preferred. 4 years of related experience may be acceptable.

Preferred Certification(s):

Any relevant certifications.

Experience:

3+ 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.

*** RESUME REQUIRED TO BE CONSIDERED FOR THIE ROLE Relocation Assistance Eligible:*

No

Work Shift:

1ST SHIFT (United States of America)

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