Lead Data Engineer - Remote

Overview

The Lead Data Engineer is responsible for overseeing data engineering and analysis tasks, utilizing a variety of technologies and methodologies to deliver high-quality data solutions.

In Short

• 10+ years of experience in Data Engineering and Data Analysis.
• Hands-on experience with Hadoop Stack technologies.
• Proficient in Python and Kafka.
• Strong understanding of Database concepts and ETL processes.
• Experience in Agile methodology and using Jira.
• Client-facing role with good communication skills.
• Understanding of Machine Learning and AI is preferred.
• Familiarity with AWS data processing and analytics.
• Experience with data modeling tools like Erwin is a plus.
• Master's or bachelor’s in computer science or equivalent.

Requirements

• 10+ years experience working in Data Engineering and Data Analysis.
• Hands on Experience in Hadoop Stack of Technologies.
• Hands on experience with Python & Kafka.
• Good understanding of Database concepts, Data Design, Data Modeling and ETL.
• Experience in Agile Methodology and hands on in Jira.
• Experience in Client Facing Roles with good communication skills.
• Good understanding of Machine Learning Models and AI preferred.
• Understanding of Data Components and Analytics on AWS is a plus.
• Experience with data modeling tools like Erwin is good to have.
• Master's/bachelor’s in computer science or equivalent fields.

Benefits

• Competitive salary.
• Opportunity to work with cutting-edge technologies.
• Collaborative work environment.
• Professional development opportunities.
• Flexible working hours.