Intetics
Intetics is a global company specializing in custom software development, AI/ML solutions, and remote in-sourcing services. They offer expertise in a wide range of technological fields including Big Data, Cybersecurity, Blockchain, IoT, Machine Learning, and DevOps. Intetics provides tailored services such as turnkey software product engineering, enterprise knowledge assistance, and cloud cost management. They serve diverse industries like agriculture, automotive, education, finance, healthcare, and logistics. Their commitment to innovation is demonstrated through solutions like AI-powered virtual try-ons, mobile experience empowerment, and data processing for civil engineering.
software development • application development • mobile development • agile • software testing
Middle Data Engineer
March 14
Intetics
Intetics is a global company specializing in custom software development, AI/ML solutions, and remote in-sourcing services. They offer expertise in a wide range of technological fields including Big Data, Cybersecurity, Blockchain, IoT, Machine Learning, and DevOps. Intetics provides tailored services such as turnkey software product engineering, enterprise knowledge assistance, and cloud cost management. They serve diverse industries like agriculture, automotive, education, finance, healthcare, and logistics. Their commitment to innovation is demonstrated through solutions like AI-powered virtual try-ons, mobile experience empowerment, and data processing for civil engineering.
software development • application development • mobile development • agile • software testing
📋 Description
•Intetics Inc. is seeking a highly skilled and experienced Middle Data Engineer to join our dynamic team. •Develop, maintain, and optimize data pipelines and ETL processes •Work with SQL (PostgreSQL/Redshift) and Python to process and manage data efficiently •Implement and maintain Airflow workflows for automation and orchestration •Utilize DBT to transform and model data for analytics and reporting •Ensure data accuracy, consistency, and reliability across different systems •Collaborate with teams to understand data requirements and provide technical solutions •Troubleshoot data-related issues and optimize performance
🎯 Requirements
•2+ years of experience in data engineering or a similar role •Proficiency in SQL (PostgreSQL/Redshift) •Strong experience with Python •Hands-on experience with DBT for data modeling and transformation •Experience working with Airflow for workflow orchestration
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