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Posted 5 months ago
Requirements and responsibilities
What you will do?Develop and maintain data pipelines using Amazon EMR or Amazon Glue.Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.Build and maintain the orchestration of data pipelines using Airflow.Collaborate with other teams to understand their data needs and help design solutions.Troubleshoot and optimize data pipelines and data models.Write and maintain PySpark and SQL scripts to extract, transform, and load data.Document and communicate technical solutions to both technical and non-technical audiences.Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.What are we looking for?Bachelor's degree in Computer Science, Engineering, or a related field.3+ years of experience working with PySpark and SQL.2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.1+ years of experience building and maintaining the orchestration of data pipelines using Airflow.Strong problem-solving and troubleshooting skills.Excellent communication and collaboration skills.Ability to work independently and within a team environment.You are preferred if you haveAWS Data Analytics Specialty CertificationExperience with Agile development methodologyLife at MactoresWe care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.1. Be one step ahead2. Deliver the best3. Be bold4. Pay attention to the detail5. Enjoy the challenge6. Be curious and take action7. Take leadership8. Own it9. Deliver value10. Be collaborativeWe would like you to read more details about the work culture on https://mactores.com/careersThe Path to Joining the Mactores TeamAt 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.AI disclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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