Data Architect for Scalable Data Solutions
18 hours ago
Cpus Engineering Staffing Solutions Inc. is seeking a highly skilled Senior Data Engineer to join our team. This role will be responsible for designing, building, and productionizing modular and scalable data pipelines and data infrastructure leveraging a wide range of data sources across the organization.
The ideal candidate will have experience with integrating structured and unstructured data across various platforms and sources, as well as knowledge of content fragmentation, partitioning, query parallelism, and query execution plans. They will also have strong expertise in programming methodologies, including source/version control, continuous integration/continuous delivery, automated testing, and quality assurance.
We offer a competitive salary of approximately $120,000 - $160,000 per year, depending on experience, plus benefits and opportunities for professional growth. Our company values innovation, teamwork, and customer satisfaction, and we strive to create an inclusive and dynamic work environment.
This is a full-time position with a duration of 3 months, working 40 hours per week. The location is flexible, with the option to work remotely from home or our office.
Key Responsibilities:
- Design, build, and productionize modular and scalable data pipelines and data infrastructure.
- Implement curated common data models that offer an integrated, business-centric single source of truth for business intelligence, analytics, artificial intelligence, and other downstream system use.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
Requirements:
- 4 years of University in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.
- Experience of over 4 years and up to 6 years in data modeling, data warehouse design, and data solution architecture in a Big Data environment.
- Experience as a Data Engineer in a Big Data environment.
If you are passionate about data engineering and want to take your career to the next level, please submit your resume and cover letter for consideration. We look forward to hearing from you
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