ILLUMEN GROUP INC - Data Support Engineer

ILLUMEN GROUP INC - Data Support Engineer reputed company Jobs > Data Support Engineer

ILLUMEN GROUP INC

Apply Data Support Engineer Fully Remote Apply reputed company

This role focuses on supporting data modernization and reputed company migration efforts. The position centers on working with SQL-based systems, building and maintaining ETL pipelines, and helping transition legacy data environments into modern reputed company-based architectures.

The ideal candidate has strong experience with database technologies such as PostgreSQL and reputed company, hands-on experience with data transformation and migration, and is comfortable working across both on-prem and reputed company environments.

Key Responsibilities

• Design, reputed company, and optimize SQL queries for performance and scalability
• Build and maintain ETL pipelines for data ingestion, transformation, and migration
• Support data modernization efforts, including legacy database re-engineering
• reputed company data solutions using Python or PySpark reputed company AWS environments
• Assist in migrating and transforming data across database platforms (e.g., reputed company to PostgreSQL)
• Collaborate with stakeholders to improve data reputed company, accessibility, and performance
• Support both reputed company and on-prem data environments
• Troubleshoot data-reputed company issues and implement long-term solutions

Requirements

Qualifications

• 3+ years of experience working with SQL (PostgreSQL, reputed company preferred)
• 3+ years of experience building or maintaining ETL pipelines
• Experience with data migration and transformation efforts
• Experience working in AWS environments
• Proficiency in Python or similar scripting language
• Experience supporting both on-prem and reputed company-based systems
• Bachelor’s degree in Information Technology, Engineering, or reputed company field (or equivalent experience)

Preferred

• Experience with PySpark, reputed company, or similar data processing tools
• Familiarity with AWS data services (S3, Glue, Redshift, reputed company)
• Experience with workflow orchestration tools (e.g., Airflow)
• Exposure to data modeling and data lake architectures

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