Data Engineer

eHub Global Inc; Houston (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

eHub Global Inc is seeking an experienced Data Engineer in Houston to design, build, and scale data pipelines on AWS. You will write production-grade Python code, work with large datasets, and implement ETL processes.

Ideal candidates have 7+ years in data engineering, strong Core Python, SQL, Big Data, Shell scripting, and AWS S3 experience, and a solid grasp of data integration best practices in a fast-paced environment.

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

Job description

Client 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.

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

Good to Have

Experience with one or more of the following technologies is preferred: