AWS Data Engineer (Associate)

Jobleads-US

Kentucky

# About the roleMactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions.1. Be one step ahead 2. Deliver the best 3.Be bold 4. Pay attention to the detail 5. Enjoy the challenge 6.Be curious and take action 7. Take leadership 8. Own it 9.Deliver value 10. Be collaborative We would like you to read more details about the work culture on The Path to Joining the Mactores Team At Mactores, our recruitment process is structured around three distinct stages: Pre-Employment Assessment: You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role. Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team. At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.All employment decisions will be made in compliance with these principles. Note: Please answer as many questions as possible with this application to accelerate the hiring process. Originally posted on Himalayas## Required skillsData EngineeringAWS Data EngineerBig Data EngineerETL DeveloperData EngineerData Engineering AssociateAssociate Data EngineerAWS ETL Data EngineerAWS Data EngineeringAWS Cloud Data EngineeringsqlawsLocation: United States
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