Legacy Data Engineer
Humana Insurance Company
Louisville, KY, United States
21 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$72,800.0 - $85,280.0
Working hours
Shift work
Job source
Tech stack
Artificial Intelligence
Data Analysis
Databases
Data Validation
Information Engineering
Data Infrastructure
Data Integration
Extract Transform Load (ETL)
Data Migration
Data Mining
Data Systems
Data Warehousing
+12 more
Python (Programming Language)
Oracle Databases
Oracle (Applications)
SQL Databases
Data Processing
Freeform SQL
Netezza
Generative AI
Ab Initio
Pyspark
Data Management
Data Pipelines
Job description
We are seeking a Legacy Data Engineer with strong experience in ETL development and legacy data technologies. The ideal candidate will have hands-on experience with Ab Initio, Netezza, Oracle, Python, and PySpark, along with exposure to AI-assisted development tools such as Claude AI. Key Responsibilities
- Design, develop, maintain, and support complex ETL workflows.
- Develop and enhance data integration solutions using Ab Initio.
- Work with Netezza and Oracle databases for data extraction, transformation, and loading.
- Develop complex SQL queries and perform data analysis and validation.
- Build data processing solutions using Python and PySpark.
- Support legacy data systems, data migration, and modernization initiatives.
- Troubleshoot ETL jobs, data pipelines, and production issues.
- Perform data quality checks and ensure accuracy and consistency of data.
- Optimize ETL processes and data workflows for performance.
- Collaborate with application, database, QA, and business teams.
- Use Claude AI / Generative AI tools where appropriate to improve development and troubleshooting productivity.
- Prepare technical documentation for data processes and solutions., Become a part of our caring community The Data Engineer 2 Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structure…
- 21 hours ago +
Requirements
- Strong experience in ETL/Data Engineering.
- Hands-on experience with Ab Initio.
- Experience with Netezza.
- Strong experience with Oracle and SQL.
- Experience with Python.
- Experience with PySpark.
- Experience working with legacy data environments.
- Strong data analysis and troubleshooting skills.
- Understanding of data warehousing and data integration concepts.
Preferred
- Experience with Claude AI or other Generative AI tools.
- Experience with legacy system modernization and migration.
- Experience supporting enterprise-scale data platforms.
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