Data Engineer

Intellisoft Technologies; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Macquarie is seeking an experienced Data Engineer with strong hands-on experience in Core Python, SQL, Big Data, Shell Scripting, and AWS.

The ideal candidate should be comfortable writing production-quality Python code, developing data pipelines, working with large datasets, and building scalable data solutions on AWS.

Qualifications

• 7+ years of professional experience in Data Engineering or a closely related field.
• Strong hands-on Data Engineering experience.
• Strong Core Python programming skills with the ability to write code independently.
• Strong SQL skills, including complex queries and data manipulation.
• Good understanding of Big Data concepts and data processing.
• Hands-on experience with Shell/Bash scripting.
• Hands-on experience with AWS S3.
• Experience designing, developing, testing, and supporting data pipelines / ETL processes.
• Strong understanding of data integration, data processing, and data engineering best practices.

Skills

Big Data concepts

Python

SQL

Shell scripting

AWS S3

Job description

Macquarie is looking for an experienced Data Engineer with strong hands-on experience in Core Python, SQL, Big Data, Shell Scripting, and AWS.

The ideal candidate should be comfortable writing production-quality Python code, developing data pipelines, working with large datasets, and building scalable data solutions on AWS.

Key Skills :

Must Have:

• Big Data Concepts
• Python(Core Python- Able to write code)
• SQL
• Shell Scripting
• AWS S3

Required Skills:

• 7+ years of professional experience in Data Engineering or a closely related field
• Strong hands-on Data Engineering experience
• Strong Core Python programming skills with the ability to write code independently
• Strong SQL skills, including complex queries and data manipulation
• Good understanding of Big Data concepts and data processing
• Hands-on experience with Shell/Bash scripting
• Hands-on experience with AWS S3
• Experience designing, developing, testing, and supporting data pipelines / ETL processes
• Strong understanding of data integration, data processing, and data engineering best practices