{"id":3958706,"url":"https://alion.io/job/nucleusteq-senior-sas-di-migration-engineer","title":"Senior SAS DI Migration Engineer","company":{"id":694295,"name":"NucleusTeq","domain":"nucleusteq.com","url":"https://alion.io/company/nucleusteq","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T09:58:09Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T15:16:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior SAS DI Migration Engineer\nExperience: 6+ Years\nJob Locations: Indore, Raipur, Bangalore, Gurgaon\nDomain: Banking / Financial Services / Data Engineering\nJob Overview\nWe are looking for an experienced Senior SAS DI Migration Engineer with strong expertise in reviewing, analyzing, and understanding existing SAS Data Integration (SAS DI) pipelines.\nThe ideal candidate will have hands-on experience in assessing legacy SAS DI jobs, analyzing existing data transformation logic, documenting business and technical requirements, and translating the current-state implementation into detailed technical specifications to support migration initiatives.\nThe role requires strong SAS DI Studio knowledge, SAS programming skills, SQL expertise, and the ability to work closely with data engineering, migration, and business teams.\nKey Responsibilities\nReview and analyze existing SAS Data Integration Studio jobs, workflows, and ETL pipelines.\nUnderstand existing data processing logic, transformations, business rules, and dependencies.\nAnalyze SAS DI job flows and underlying SAS-generated code to identify data movement and processing logic.\nDocument existing pipeline architecture, data flows, transformation logic, and dependencies.\nTranslate existing SAS DI logic into detailed technical specifications for migration and redevelopment.\nPrepare source-to-target mapping documents, transformation specifications, and data lineage documentation.\nIdentify upstream and downstream dependencies, data sources, target tables, and job scheduling requirements.\nCollaborate with business analysts, data engineers, architects, and migration teams to clarify existing logic.\nIdentify gaps, redundancies, and potential migration challenges in legacy SAS pipelines.\nSupport migration planning, impact analysis, and technical assessment activities.\nAssist in validating migrated data pipelines by comparing legacy and target outputs.\nEnsure technical documentation is accurate, complete, and aligned with business requirements.\nRequired Technical Skills\n6+ years of overall experience in data engineering, ETL development, or SAS-related technologies.\nStrong hands-on experience with SAS Data Integration Studio (SAS DI).\nExperience reviewing, analyzing, and understanding existing SAS DI pipelines.\nStrong understanding of ETL processes and data integration concepts.\nProficiency in SAS programming and the ability to read and interpret SAS-generated code.\nStrong SQL skills, including joins, aggregations, filtering, and data transformation logic.\nExperience preparing detailed technical specifications and data mapping documents.\nUnderstanding of data lineage, job dependencies, and source-to-target data flows.\nStrong analytical, problem-solving, and documentation skills.\nPreferred Qualifications\nExperience in SAS migration or legacy data modernization projects.\nExperience working in banking, financial services, or other regulated data environments.\nFamiliarity with SAS Enterprise Guide, SAS Management Console, and SAS metadata.\nExposure to cloud data platforms or modern data engineering technologies.\nExperience with data reconciliation, validation, and migration testing.\nAbility to communicate technical logic clearly to business and technical stakeholders.\nIdeal Candidate Profile\nThe ideal candidate is someone who can independently analyze existing SAS DI jobs, understand the underlying business logic, and create detailed technical documentation that enables migration teams to accurately recreate existing data pipelines on a target platform.\nCandidates with strong SAS DI migration assessment and technical specification experience will be preferred over candidates focused exclusively on new ETL 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