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Data Engineer

Delaware City, DE, US • Posted 19 hours ago • Updated 19 hours ago

Contract Corp To Corp

Contract Independent

Contract W2

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Databricks
ELT
Cloud Computing
Data-flow Diagrams
PySpark
Snow Flake Schema
Migration
BMC Control-M
Acceptance Testing
Data Integrity
Real-time
Workflow
Microsoft Azure
Extract, Transform, Load
Ab Initio
Data Governance
Scheduling
Optimization
Legacy Systems

Summary

Role: Data Engineer

Experience: 10 years

Location: Delaware, Wilmington (Onsite interwiew)

Required skills:

• We are seeking a Data Engineer to lead the modernization of legacy ETL systems by migrating Ab Initio workflows to scalable, modular PySpark pipelines on Databricks.
• The role involves transforming complex data ecosystems into cloud-native architectures while ensuring data integrity, performance, and reliability.
Key Responsibilities
ETL Modernization & Development
• Analyze and migrate legacy ETL workflows from Ab Initio to PySpark-based pipelines
• Design and develop scalable data pipelines on Databricks
• Much needed Azure cloud(must)
• Refactor monolithic processes into modular, reusable components
• Leverage existing enterprise datasets to avoid redundancy
Data Integration & Processing
• Build and maintain ETL/ELT pipelines integrating data from Snowflake and other sources
• Process and publish enriched datasets for downstream applications
• Support batch and near real-time data processing
Data Lineage & Optimization
• Create end-to-end data lineage and data flow diagrams
• Identify redundancies and drive process consolidation and optimization
• Ensure adherence to data governance and quality standards
Testing & Validation
• Develop unit, integration, and reconciliation frameworks
• Perform dual-run comparisons with legacy systems
• Validate outputs in UAT and pre-production environments
Deployment & Operations
• Support cutover and migration strategy from legacy systems
• Decommission legacy workflows and optimize scheduling (e.g., Control-M)
• Develop runbooks, monitoring, and operational documentation
Collaboration
• Work with data architects, analysts, and downstream application teams
• Coordinate user acceptance testing (UAT/FAT) and stakeholder sign-offs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90718572
Position Id: 8953662
Posted 19 hours ago

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