Mactores delivers end-to-end data platform solutions that automate, secure, and accelerate business value. Since 2008, the company has partnered with clients to strategize, assess, and execute digital transformations across cloud, big data, AI, and machine-learning initiatives on Microsoft Azure, Amazon AWS, and Google Cloud. Mactores' distinctive approach blends agile consulting with deep technical expertise in areas such as intelligent analytics, deep learning, and IoT, enabling rapid, scalable insights. The firm's collaborative culture focuses on delivering measurable outcomes while fostering innovation and continuous improvement.
Open Positions
AWS Solutions Architect (Documentation)
Bachelor’s degree in Computer Science or related field. 2+ years AWS experience. Proficiency in AWS services like Kinesis & Life Sciences. Strong understanding of data engineering principles and documentation
Technical Content Writer
Bachelor's or Master's degree in a relevant field, with 0-10 years of experience in creating technical content focused on data analytics
AWS Data Engineer (Senior)
3+ years of experience in PySpark and SQL, 2+ years of experience in data pipelines and data modeling, strong problem-solving and communication skills
AWS Data Engineer (Associate)
1-3 yrs Spark/PySpark/Glue. 2+ yrs PySpark/SQL ETL experience. SQL/Stored Procs skills. AWS EMR/Airflow experience a plus
AWS DevOps Engineer (Senior)
4+ years of experience in using Terraform, configuration management, and Linux or Windows Administration
AWS DevOps Engineer (Freelancer)
4+ years of experience in Terraform, configuration management, Linux or Windows Administration, version control systems, AWS Infrastructure, and cloud automation tools
AWS Data Engineer (Senior)
Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience working with PySpark and SQL. Experience with data modeling and end-user querying
AWS DevOps Engineer (Senior)
4+ years of experience with Terraform, configuration management, Linux administration, and Git; 2+ years of hands-on experience with AWS and cloud automation tools
AWS Data Engineer (Senior) (Freelancer)
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
Project Manager
2+ years of experience in cloud engineering or data engineering, 2+ years of experience as a Project manager or scrum master, expertise in using Smartsheet, Jira / Confluence, Clockify
+22 More Jobs Available!
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