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AWS Data Architect :: Mettawa - IL (HYBRID) at Mossville, Illinois, USA
Email: [email protected]
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https://jobs.nvoids.com/job_details.jsp?id=2195475&uid=

Job title: AWS Data Architect
Location: Mettawa - IL (HYBRID)

Required Skills : PySpark, AWS EMR, Spark Pyspark, Data Lake Concepts

Job summary: We are seeking an experienced Architect with 8 to 12 years of experience to join our team.

The ideal candidate will have a strong background in Data Lake Concepts, AWS EMR, and Spark PySpark. This role involves working in a hybrid model with day shifts and no travel requirements. The Architect will play a crucial role in designing and implementing data solutions that drive our companys success and impact society positively. 3.Experience : 8to12Yrs

Responsibilities :
Lead the design and implementation of data lake solutions to support business needs.
Oversee the development and deployment of data processing workflows using AWS EMR and Spark PySpark.
Provide technical expertise in data architecture and ensure best practices are followed. - Collaborate with cross-functional teams to understand data requirements and deliver optimal solutions.
Ensure data integrity and security throughout the data lifecycle.
Optimize data processing performance and troubleshoot issues as they arise.
Mentor and guide junior team members in data engineering best practices.
Conduct code reviews and ensure high-quality standards are maintained.
Stay updated with the latest industry trends and technologies in data engineering.
Develop and maintain documentation for data architecture and processes.
Participate in project planning and provide accurate estimates for data engineering tasks.
Communicate effectively with stakeholders to ensure alignment on project goals and deliverables.
Contribute to the continuous improvement of data engineering practices within the organization.

Qualifications:
Possess strong experience in Data Lake Concepts and AWS EMR.
Demonstrate proficiency in Spark PySpark for data processing.
Have a solid understanding of data architecture principles.
Show ability to optimize data workflows for performance.
Exhibit excellent problem-solving skills and attention to detail.
Have experience mentoring and guiding junior team members.
Display strong communication and collaboration skills.
Stay current with industry trends and emerging technologies.
Have a proven track record of delivering high-quality data solutions.
Be able to work effectively in a hybrid work model.
Demonstrate commitment to maintaining data integrity and security.
Possess strong documentation and project planning skills.
Show a passion for continuous improvement and innovation.

Keywords: Illinois
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07:44 PM 21-Feb-25


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