Senior Data Engineer– ETL PySpark (7+ years) to develop and maintain data platforms and pipelines using Python, PySpark, AWS EMR, and Oracle PL/SQL

S.I. Systems Ltd.; United States; Remote; CAD 96,000 - 165,000; Full time

Job summary

S.I. Systems Ltd. is seeking a Senior Data Engineer – ETL PySpark (7+ years) to develop and maintain data platforms and pipelines using Python, PySpark, AWS EMR, and Oracle PL/SQL. The role is contract-based with remote delivery and EST working hours.

You will join a large-scale data platform initiative delivering scalable reporting products, supporting ETL pipelines, analytics, and enterprise reporting environments. Hands-on work spans Python, PySpark, AWS, SQL, Oracle, and Airflow.

Qualifications

• 7+ years developing with Python and PySpark for large-scale data processing and analytics.
• Hands-on development using AWS EMR, AWS Cloud, and Apache Airflow.
• Advanced development using Oracle PL/SQL, AWS Redshift, SQL, and dimensional modeling

Responsibilities

• Develop and maintain data platform products and ETL pipelines.
• Create and deploy code and script changes for product updates.
• Execute unit and integration testing for application changes.
• Support scheduled product releases by running scripts and updating configuration files.
• Analyze and resolve software deficiencies and production issues.
• Prepare deployment packages, release tickets, and technical documentation.
• Support user inquiries, QA activities, and application administration tasks

Skills

Python

PySpark

ETL development

Shell scripting

Linux/Unix

Tools

AWS EMR

AWS Cloud

Apache Airflow

Oracle PL/SQL

AWS Redshift

SQL

Linux/Unix

Job description

Senior Data Engineer– ETL PySpark (7+ years) to develop and maintain data platforms and pipelines using Python, PySpark, AWS EMR, and Oracle PL/SQL

Job Type: Contract

Positions to fill: 1

Job End Date: Mar 31, 2027

Pay Rate: Hourly: Negotiable

Job ID: 155529

Our client is seeking a Senior Software Developer – ETL PySpark (7+ years) to develop and maintain data platforms and pipelines using Python, PySpark, AWS EMR, and Oracle PL/SQL

Join a large-scale data platform initiative focused on delivering scalable public and private reporting products using modern technology stacks and Agile processes. This role supports the development, deployment, and maintenance of ETL pipelines and analytics products integrated with enterprise reporting environments. The position includes hands-on work across Python, PySpark, AWS, SQL, Oracle, and Apache Airflow within a remote delivery model.

Contract, Remote, Working Hours: EST

Must Haves

• 7+ years developing with Python and PySpark for large-scale data processing and analytics applications
• Hands-on development using AWS EMR, AWS Cloud, and Apache Airflow
• Advanced development using Oracle PL/SQL, AWS Redshift, SQL, and dimensional modeling
• Development in Linux/Unix environments using shell scripting and ETL technical documentation

Nice to Have

• Experience supporting advanced analytics, machine learning methods, and data visualization initiatives
• Experience supporting CI/CD pipeline jobs and peer code reviews

Responsibilities

• Develop and maintain data platform products and ETL pipelines
• Create and deploy code and script changes for product updates
• Execute unit and integration testing for application changes
• Support scheduled product releases by running scripts and updating configuration files
• Analyze and resolve software deficiencies and production issues
• Prepare deployment packages, release tickets, and technical documentation
• Support user inquiries, QA activities, and application administration tasks

Our client is seeking a Senior Software Developer – ETL PySpark (7+ years) to develop and maintain data platforms and pipelines using Python, PySpark, AWS EMR, and Oracle PL/SQL

Join a large-scale data platform initiative focused on delivering scalable public and private reporting products using modern technology stacks and Agile processes. This role supports the development, deployment, and maintenance of ETL pipelines and analytics products integrated with enterprise reporting environments. The position includes hands-on work across Python, PySpark, AWS, SQL, Oracle, and Apache Airflow within a remote delivery model.

Contract, Remote, Working Hours: EST

Must Haves

• 7+ years developing with Python and PySpark for large-scale data processing and analytics applications
• Hands-on development using AWS EMR, AWS Cloud, and Apache Airflow
• Advanced development using Oracle PL/SQL, AWS Redshift, SQL, and dimensional modeling
• Development in Linux/Unix environments using shell scripting and ETL technical documentation

Nice to Have

• Experience supporting advanced analytics, machine learning methods, and data visualization initiatives
• Experience supporting CI/CD pipeline jobs and peer code reviews
• Experience supporting Agile delivery environments

Responsibilities

• Develop and maintain data platform products and ETL pipelines
• Create and deploy code and script changes for product updates
• Execute unit and integration testing for application changes
• Support scheduled product releases by running scripts and updating configuration files
• Analyze and resolve software deficiencies and production issues
• Prepare deployment packages, release tickets, and technical documentation
• Support user inquiries, QA activities, and application administration tasks

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.