Mactores
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
Big Data • Machine Learning • Consulting • Research • Internet of Things
Senior AWS Data Engineer
January 23
Mactores
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
Big Data • Machine Learning • Consulting • Research • Internet of Things
📋 Description
• Mactores 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. • Mactores is seeking an AWS Data Engineer (Senior) to join our team. • The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. • The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
🎯 Requirements
• 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.
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