Ab Initio Migration Specialist

Staffxpert Llc
Phoenix, AZ, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Data Validation Information Engineering Data Integrity Extract Transform Load (ETL) Data Manipulation Languages Software Debugging SQL Azure Performance Tuning Azure Data Lake Software Deployment SQL Databases System Integration Testing
+6 more
Azure Data Factory Apache Spark Ab Initio Pyspark Cloud Migration Databricks

Job description

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)

Requirements

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.

Benefits & conditions

BUGENDAITECH US LLC

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About the company

Sunrise Systems

  • Phoenix, AZ

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