Ab Initio Migration Specialist

Hybrid in Phoenix, AZ, US • Posted 2 days ago • Updated 15 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
24 Months
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Ab Initio
  • Apache Spark
  • Banking
  • Data Engineering
  • Extract
  • Transform
  • Load
  • Operating Systems
  • System Integration Testing

Summary

Ab Initio Migration Specialist

Location: Phoenix, AZ (Onsite)
Job Type: Long-Term Contract


Job Summary

STAFFXPERT LLC is seeking an Ab Initio Migration Specialist on behalf of our client in Phoenix, AZ. We are looking for a highly skilled ETL and Data Engineering professional with strong expertise in Ab Initio and cloud migration technologies. This role is ideal for someone who has successfully led enterprise-scale ETL modernization initiatives and can collaborate effectively with business stakeholders and distributed engineering teams to deliver high-quality migration solutions.

The ideal candidate will play a key role in migrating legacy Ab Initio ETL workloads to Azure Databricks while ensuring data integrity, optimal performance, and seamless production deployment.


Key Responsibilities
  • Analyze existing Ab Initio graphs, plans, and ETL workflows to understand current architecture.
  • Design and implement migration strategies from Ab Initio to Azure Databricks.
  • Translate complex Ab Initio logic into efficient Spark, PySpark, and SQL-based ETL pipelines.
  • Develop reusable migration frameworks, standards, and best practices.
  • Collaborate with business stakeholders to gather requirements and define technical solutions.
  • Provide technical leadership and guidance to offshore development teams.
  • Perform data validation, reconciliation, and root cause analysis to ensure data accuracy.
  • Troubleshoot ETL execution issues throughout migration activities.
  • Support System Integration Testing (SIT), User Acceptance Testing (UAT), production validation, and performance optimization.
  • Ensure complete source-to-target data consistency and successful production rollout.

Required Skills
  • Ab Initio (GDE, Co>Operating System, EME, Conduct>It, Continuous Flows)
  • Azure Databricks
  • Apache Spark
  • PySpark
  • SQL
  • ETL Migration
  • Data Validation & Reconciliation
  • Azure Data Lake Storage (ADLS)
  • Azure Data Factory (ADF)
  • CI/CD for Data Pipelines

Required Qualifications
  • 8+ years of overall experience in Data Engineering and ETL development.
  • 5+ years of hands-on experience specializing in Ab Initio migration projects.
  • Strong expertise in Ab Initio graph development, DML, transforms, joins, rollups, lookups, partitioning, normalization, and related components.
  • Hands-on experience with Azure Databricks, Spark, PySpark, and SQL.
  • Proven experience delivering enterprise ETL modernization or cloud migration initiatives.
  • Strong analytical, troubleshooting, and debugging skills.
  • Excellent communication and stakeholder management abilities.
  • Experience collaborating with offshore development teams.

Preferred Qualifications
  • Experience migrating legacy ETL platforms to Azure Databricks.
  • Knowledge of Azure data services including ADLS, ADF, and Azure SQL.
  • Experience implementing CI/CD pipelines for data engineering projects.
  • Experience working within regulated industries such as Banking, Financial Services, or Healthcare.
  • Prior experience leading or mentoring technical teams.
 
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: 91172109
  • Position Id: JRQ-2332
  • Posted 2 days ago
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