Sr. AWS Glue ETL Developer

MACHINE LEARNING TECHNOLOGIES LLC

Town of Florida (NY)

On-site

USD 83,000 - 124,000

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Sr. AWS Glue ETL Developer to modernize mainframe systems using cloud-native ETL processes and AWS services. You will drive end-to-end delivery across design, development, testing, and deployment in a DevOps framework.

The role emphasizes re-engineering batch jobs to ETL workflows, leveraging Glue PySpark, Lambda, and Step Functions, while coordinating with architecture and infra teams to ensure scalable solutions.

Qualifications

Experience in SDLC with strong ETL development.
Experience with AWS and mainly AWS Glue Studio.
Proficient in PySpark/Python.
Experience with PostgreSQL relational databases.
Fast-paced development environment with delivery focus.
Proficient with version control (CodeCommit/CodeBuild/CodePipeline).
Experience with Jira for issue tracking.
Bachelor’s with 8–12 years or Master’s with 6–10 years of relevant experience.

Responsibilities

Re-engineer mainframe batch jobs to ETL processes, preferably with AWS Glue.
Use serverless cloud services to extract, transform, and load large datasets.
Coordinate with mainframe resources to clarify requirements.
Design Glue jobs with performance considerations and end-to-end testing.
Document design specs and align with architecture and lead developer.
Coordinate infra needs with architecture and infrastructure teams.
Develop Glue ETL PySpark jobs with SQL, Lambda, Step Functions, API calls.
Develop and integrate custom software for automated deployment.
Utilize CodeCommit, CodeBuild, CodePipeline, and CloudFormation.
Communicate project data to team and maintain cohesion.
Utilize Jira and Confluence to track activities.
Apply best practices and create innovative customer solutions.

Skills

ETL development

AWS Glue

PySpark/Python

PostgreSQL

AWS (general)

CodeCommit/CodeBuild/CodePipeline

Jira/Confluence

Education

Bachelor’s degree with 8-12 years experience or Master’s with 6-10 years experience

Tools

AWS Glue Studio

CloudFormation

CodeCommit/CodeBuild/CodePipeline

JIRA

Confluence

Lambda

Step Functions

Job description

Job ID: J52600

Job Title: Sr. AWS Glue ETL Developer

Location: Palm Beach Gardens, FL

Duration: 15 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

Total Force Alliance is seeking a Sr. AWS Glue ETL Developer with strong systems, software, and AWS cloud experience to support a major mainframe systems modernization initiative for federal customer. Based in DevOps framework, participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding, unit testing, support deployments and testing in higher environments.

Primary Responsibilities

Re-engineer mainframe batch jobs to equivalent ETL batch processes, preferably using Cloud-Native tools like AWS Glue.
Leverage serverless cloud services to prepare (extract and transform) and load large numbers of datasets for data processing.
Coordinate closely with mainframe resources to ensure requirements and specifications are clearly understood.
Design Glue jobs to meet requirements, consider performance where applicable, code per standards, and perform end-to-end testing.
Document the design specifications and contribute to implementation plan then work with the architecture team and lead developer to review the design and the code.
Effectively coordinate the infrastructure/service needs working with the architecture and infrastructure teams.
Implement overall solution comprising of Glue ETL PySpark jobs including SQL queries, Lambda, Step Functions, REST API calls.
Develop and integrate custom developed software solutions to leverage automated deployment technologies.
Use industry leading DevOps tools such as CodeCommit, CodeBuild, CodePipeline and AWS CloudFormation.
Communicate key project data to team members and infrastructure team cohesion and effectiveness.
Leverage Atlassian tool suite like JIRA and Confluence to track activities.
Identify and apply best practices and standard operating procedures.
Create innovative solutions to meet the technical needs of customers.

Basic Qualifications

Experience working in the software development lifecycle, with strong experience on ETL based development.
Working experience with development using Amazon Web Services (AWS) and primarily on AWS Glue studio.
Experience working with programming language PySpark/Python
Experience working with relational database like PostgreSQL.
Experience working in a fast-paced development environment with drive to completion.
Well versed with using version control systems (CodeCommit, CodeBuild, CodePipeline preferred)
Well versed with using issue/problem tracking systems (Jira preferred)
Candidate must have bachelor’s with 8-12 years of prior relevant experience or master’s with 6-10 years of prior relevant experience

Preferred Qualifications

Familiarity working with multiple file formats, and knowledge on DB2, JCL, COBOL COPYBOOK and EBCDIC character format is strongly desired.
AWS, Agile, or other related Certification(s)
Prior experience working mainframe modernization.
Prior experience with Linux bash scripting

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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