Senior IT Data Engineer

• Data Engineer

Senior IT Data Engineer

The
Senior IT Data Engineers are experts in data streaming, building data pipelinesthat support real-time data refreshes and are cost-optimized for computingresources. They deeply understand data security, implementing row-level andcolumn-level security measures. This role typically involves leading theimplementation of complex projects, using advanced big data technologies, andensuring robust data pipeline orchestration across multiple systems.

Essential
Duties and 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 dataarchitectures.

Lead
the development of data visualization strategies, ensuring they contribute todata-driven decision-making at a strategic level.

Design
and deploy enterprise-scale data visualization solutions, optimizingperformance within tools.

Oversee
complex data pipeline orchestration and ensure seamless integration acrosssystems.

Interact
with 3rd party vendors to incorporate new functionality and evaluatetools.

Resolve
complex escalations and situations, driving effective resolutions.

Ensure
adherence to data privacy and security practices to protect sensitiveinformation.

Communicate
effectively with stakeholders to understand and address their needs throughdata visualization.

Perform
other assigned job-related duties that align with our organizations 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 securitymeasures.

Ability
to lead data architecture reviews and approvals.

Soft Skills:

Project
Management: Learning and understanding complex data initiatives from conceptionto 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.