Mactores
51 - 200 employees
Founded 2008
🏢 Enterprise
Enterprise • Data
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.
Senior AWS Data Engineer
Job not on LinkedIn
🕒 March 31
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Mactores
51 - 200 employees
Founded 2008
🏢 Enterprise
Enterprise • Data
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.
📋 Description
• 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.
🎯 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.
🏖️ Benefits
• Equal opportunities in all employment practices • No discrimination policy
Apply NowSimilar Jobs
🕒 March 31
LuckyJay Consulting
1 - 10
Data Engineer designing and implementing data architecture for precision oncology. Collaborating with various teams to manage diverse biological data pipelines in an early-stage startup environment.
🕒 March 31
Data Engineer II developing state-of-the-art generative products for music at Spotify. Focusing on artist-first listening experiences and collaboration in cross-functional teams.
🇺🇸 United States – Remote
💵 $125.3k - $179k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
🕒 March 31
Senior Technical Product Manager focused on designing scalable solutions for healthcare technology at Aledade. Collaborating with business and technical teams to enhance clinical data integration and insights.
🕒 March 31
Senior Software Data Engineer designing and delivering services that power products at Ensemble. Focus on scalability, reliability, and mentoring in software systems development.
🇺🇸 United States – Remote
💵 $111.8k - $192.9k / year
💰 Private Equity Round on 2022-03
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🕒 March 31
Data Architect Lead developing data architecture solutions for investment management. Collaborating with development teams to implement global investment data platforms.
