Senior Oracle PL/SQL & ETL Developer

Matlen Silver

Newark, Northern (DE, KY)

Hybrid

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

Matlen Silver is seeking a senior data integration professional with 10+ years in Oracle PL/SQL and ETL to design and optimize data models for analytics. You will work with upstream SOR systems and downstream models to ensure accuracy and value across data warehousing needs.

The role requires strong analytical and communication skills, academic grounding in a quantitative field, and the ability to thrive in an agile, fast-paced team environment. On-site work in Newark, DE is expected.

Qualifications

  • Bachelor degree or equivalent in a quantitative field such as computer science, mathematics, engineering, finance, etc.
  • 10+ years experience in creation of Oracle PL SQL and ETL work.
  • Experience with design of conceptual, logical and physical data models to support analytic data requirements.
  • Comfortable working with upstream SOR systems and downstream data models.

Responsibilities

  • Design conceptual, logical and physical data models to support analytic data requirements.
  • Utilize Oracle PL/SQL and ETL tools to implement data pipelines.
  • Improve and streamline data flow and data quality to enhance data accuracy and value.
  • Analyze large data sets independently, identify patterns, and present findings.
  • Collaborate within an agile, fast-paced development environment.
  • Work with BI tools to support reporting and analytics.

Skills

PL/SQL
Data modeling
Data analysis
Data quality
Problem solving
Communication
Agile
Team collaboration

Education

Bachelor degree or equivalent in a quantitative field

Tools

DataStage
Informatica
Alteryx
Tableau
MicroStrategy
Autosys
Shell scripts
Excel

Job description

Matlen Silver is seeking a senior data integration professional with 10+ years in Oracle PL/SQL and ETL to design and optimize data models for analytics. You will work with upstream SOR systems and downstream models to ensure accuracy and value across data warehousing needs.

The role requires strong analytical and communication skills, academic grounding in a quantitative field, and the ability to thrive in an agile, fast-paced team environment. On-site work in Newark, DE is expected.

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