Senior SAS DI Migration Engineer

NucleusTeq

. Review and analyze existing SAS Data Integration Studio jobs, workflows, and ETL pipelines .

Posted 11/9/2026full-timeIndore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SAS Data Integration Studio and ETL processes, with a strong ability to analyze and document data pipelines, transformations, and dependencies. Proficient in preparing technical specifications and data mapping documents while ensuring alignment with business requirements.

Highest-signal resume keywords

SAS Data Integration StudioETL DevelopmentSAS ProgrammingSQL SkillsData Lineage Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL ProcessesSAS DI PipelinesTechnical SpecificationsData MappingData Transformation LogicData ReconciliationMigration TestingData ValidationProblem-Solving

Soft Skills

Analytical SkillsDocumentation SkillsCommunication Skills

Tools & Technologies

SAS Enterprise GuideSAS Management ConsoleCloud Data Platforms

Industry Keywords

BankingFinancial ServicesRegulated Data EnvironmentsLegacy Data Modernization

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

Review and analyze existing SAS Data Integration Studio jobs, workflows, and ETL pipelines
Understand data processing logic, transformations, business rules, and dependencies
Analyze SAS DI job flows and SAS-generated code to identify data movement and processing logic
Document pipeline architecture, data flows, transformation logic, and dependencies
Translate existing SAS DI logic into technical specifications for migration and redevelopment
Prepare source-to-target mapping documents, transformation specifications, and data lineage documentation
Identify upstream and downstream dependencies, data sources, target tables, and job scheduling requirements
Collaborate with business analysts, data engineers, architects, and migration teams
Identify gaps, redundancies, and potential migration challenges in legacy SAS pipelines
Support migration planning, impact analysis, and technical assessment activities
Assist in validating migrated data pipelines by comparing legacy and target outputs
Ensure technical documentation is accurate, complete, and aligned with business requirements

Requirements

What you’ll need

6+ years of overall experience in data engineering, ETL development, or SAS-related technologies
Strong hands-on experience with SAS Data Integration Studio (SAS DI)
Experience reviewing, analyzing, and understanding existing SAS DI pipelines
Strong understanding of ETL processes and data integration concepts
Proficiency in SAS programming and the ability to read and interpret SAS-generated code
Strong SQL skills, including joins, aggregations, filtering, and data transformation logic
Experience preparing detailed technical specifications and data mapping documents
Understanding of data lineage, job dependencies, and source-to-target data flows
Strong analytical, problem-solving, and documentation skills
Experience in SAS migration or legacy data modernization projects preferred
Experience working in banking, financial services, or other regulated data environments preferred
Familiarity with SAS Enterprise Guide, SAS Management Console, and SAS metadata preferred
Exposure to cloud data platforms or modern data engineering technologies preferred
Experience with data reconciliation, validation, and migration testing preferred
Ability to communicate technical logic clearly to business and technical stakeholders