Senior ETL & AWS Data Engineer: Cloud Migration Lead

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is looking for a highly skilled ETL / AWS Software Engineer to lead the migration of ETL jobs and databases to the AWS Cloud. This role is pivotal in developing new ETL solutions and ensuring data compliance and quality throughout.

Applicants must have over 8 years in ETL development and a solid understanding of data analytics. Responsibilities include collaborating with teams to analyze data and enhancing data accuracy.

Qualifications

• More than 8 years of experience in ETL development, data warehousing, AWS cloud services, and API development.
• Comprehensive proficiency in AWS services with strong understanding of data integration.
• Experience with version control tools like Git or Bitbucket.

Responsibilities

• Lead migration of ETL jobs and databases from on-premises to AWS Cloud.
• Design, develop, and implement ETL Glue PySpark processes.
• Provide production support, monitoring and resolving issues for ETL processes.

Skills

DataStage or Informatica

Korn Shell

Python

Perl scripting

AWS services

SQL

Git

Excel

Education

Bachelor's degree in Computer Science

Tools

AWS Glue

Jenkins

Job description

MACHINE LEARNING TECHNOLOGIES LLC is looking for a highly skilled ETL / AWS Software Engineer to lead the migration of ETL jobs and databases to the AWS Cloud. This role is pivotal in developing new ETL solutions and ensuring data compliance and quality throughout.

Applicants must have over 8 years in ETL development and a solid understanding of data analytics. Responsibilities include collaborating with teams to analyze data and enhancing data accuracy.