AWS Cloud Data Engineer III (Innovation Team)

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Written by AI from the job title and company, not by Businessolver, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a AWS Cloud Data Engineer III on the Innovation Team at Businessolver, you will play a pivotal role in designing and implementing robust data pipelines within the Amazon Web Services (AWS) ecosystem. You will be responsible for the integration, processing, and governance of diverse datasets to drive actionable insights and support data-driven decision-making. Your expertise will help to enhance our cloud capabilities while ensuring high-performance and scalable data solutions are in place to meet the evolving needs of our clients.

Job Responsibilities

• Design, develop, and maintain data pipelines and architectures using AWS data services.
• Collaborate with cross-functional teams to gather requirements and translate business needs into data solutions.
• Implement and enforce data governance policies to ensure data quality and compliance.
• Optimize data processing workflows for performance and cost-effectiveness.
• Monitor and troubleshoot data pipelines and systems to resolve performance issues and outages.
• Stay current with industry trends in cloud computing and data engineering to suggest new enhancements.
• Create and maintain comprehensive documentation of data pipelines, architectures, and processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Minimum of 5 years of experience in data engineering, with significant experience in AWS services.
• Proficiency in SQL, Python, and other programming languages relevant to data processing.
• Experience with AWS data services such as S3, Redshift, Glue, Lambda, and Kinesis.
• Solid understanding of ETL/ELT processes and data warehousing concepts.
• Competence in data modeling, data architecture, and data governance practices.
• Strong analytical skills and the ability to work independently as well as collaboratively.

Technologies & Tools

In this position, you will work extensively with a variety of technologies and tools, including but not limited to Amazon Web Services (AWS) such as S3, Redshift, Glue, Lambda, and Kinesis. You will also utilize SQL for data query and manipulation, along with scripting languages like Python for automating data workflows and processes. Familiarity with data visualization tools and version control systems such as Git is also beneficial for collaboration on data projects.

Ideal Candidates

The ideal candidate for the AWS Cloud Data Engineer III role will possess a strong technical foundation complemented by excellent problem-solving and critical thinking abilities. They should exhibit strong communication skills, enabling them to articulate complex ideas to both technical and non-technical stakeholders. A proactive and innovative mindset is essential; the candidate must demonstrate a willingness to embrace challenges and propose new data solutions. Additionally, the ability to work effectively in a team environment while also being self-motivated and responsive to feedback will further distinguish a successful applicant.