
11 - 50 employees
Founded 1981
🛒 Retail
Automotive • Manufacturing • Retail
MULTI SEAL Tire Sealants is a company specializing in tire sealant products designed for industrial and recreational applications. Their products provide solutions to prevent air loss in tires, enhancing safety and performance for vehicles used in demanding environments. They focus on non-passenger vehicle tire sealants, offering a range of options tailored to industrial and lifestyle uses.
🔥 0 minutes ago
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11 - 50 employees
Founded 1981
🛒 Retail
Automotive • Manufacturing • Retail
MULTI SEAL Tire Sealants is a company specializing in tire sealant products designed for industrial and recreational applications. Their products provide solutions to prevent air loss in tires, enhancing safety and performance for vehicles used in demanding environments. They focus on non-passenger vehicle tire sealants, offering a range of options tailored to industrial and lifestyle uses.
• Support the automation, development, maintenance, and optimization of our data pipelines and infrastructure. • Work closely with senior data engineers to process, clean, and transform large datasets, ensuring data integrity and availability for analytics and business decision-making. • Collaborate with cross-functional teams to understand data needs and contribute to improving data workflows. • Develop and maintain Python scripts and applications for data processing, analysis, and automation. • Design, develop, and maintain Power BI dashboards and reports to deliver actionable insights to stakeholders. • Reviewing data for accuracy, completeness and consistency • Organizing and maintaining electronic records for a company’s databases • Analyzing data in order to identify trends and opportunities for improvement • Assisting in creating reports and proposals to present findings to management • Address technical issues and provide IT support to ensure smooth business operations • Support IT management team
• Very good command of the English language (written and verbal) • Finished university degree – in computer science or an engineering field • Availability to work full USA hour shift (EST, CST, MST, or PST) • At least 1-2 years of relevant private sector work experience (fulltime) in the field of IT or data science actively using python and PowerBI • Professional experience working with Python including common libraries like scipy, pandas, scikit-learn etc. (just python coding classes do not count) • Must not have had any disciplinary actions regarding attendance, conduct and/or performance in the past 90 days, and must not be approaching such action.
• Please submit resume in English.
Apply Now🕒 6 days ago
AWS Data Engineer developing AI systems and managing data solutions for Netrix Global. Identifying data requirements, designing ETL processes, and working with cloud services.
Airflow
Apache
AWS
Cloud
ETL
Hadoop
Python
Spark
Terraform
🕒 March 4
Data Engineer creating data solutions and improving AI systems for Netrix Global's Data Intelligence team. Collaborating in a remote environment and managing data for Machine Learning workloads.
Airflow
Apache
AWS
Azure
Cloud
ETL
Hadoop
Python
Spark
Terraform
🕒 July 24, 2025
Support Assurance team with data engineering and ML models to optimize network metrics.
🗣️🇪🇸 Spanish Required
Airflow
Apache
Docker
ETL
Grafana
Kafka
Kubernetes
Linux
MariaDB
MongoDB
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
Unix