Senior SAS DI Migration Engineer

NucleusTeq; Madhya Pradesh; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

NucleusTeq is seeking an experienced Senior SAS DI Migration Engineer to lead the assessment and migration of SAS Data Integration pipelines. You will review legacy DI jobs, analyze transformation logic, and create detailed technical specifications to guide redevelopment.

The role requires SAS DI Studio proficiency, SAS programming and SQL skills, and the ability to document data flows and dependencies for collaboration with data engineers, architects, and business teams.

Qualifications

• 6+ years of 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 SAS DI pipelines.
• Strong understanding of ETL processes and data integration concepts.
• Proficiency in SAS programming and the ability to read SAS-generated code.
• Strong SQL skills for joins, aggregations, and data transformations.
• Experience preparing technical specifications and data mapping documents.
• Understanding of data lineage, dependencies, and source-to-target data flows.

Responsibilities

• Review and analyze SAS DI jobs, workflows, and ETL pipelines.
• Understand data processing logic, transformations, and business rules.
• 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 SAS DI logic into detailed technical specifications for migration and redevelopment.
• Prepare source-to-target mapping documents, transformation specs, and data lineage docs.
• Identify upstream/downstream dependencies, data sources, target tables, and scheduling requirements.
• Collaborate with business analysts, data engineers, architects, and migration teams.
• Identify gaps and 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 documentation is accurate and aligned with business requirements.

Skills

SAS DI Studio

SAS programming

SQL

Data integration

Documentation

Technical analysis

Stakeholder communication

Tools

SAS Enterprise Guide

SAS Management Console

SAS metadata

Job description

Senior SAS DI Migration Engineer

Experience: 6+ Years

Job Locations: Indore, Raipur, Bangalore, Gurgaon

Domain: Banking / Financial Services / Data Engineering

Job Overview

We 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.

The 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.

The 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.

Key Responsibilities

• Review and analyze existing SAS Data Integration Studio jobs, workflows, and ETL pipelines.
• Understand existing data processing logic, transformations, business rules, and dependencies.
• Analyze SAS DI job flows and underlying SAS-generated code to identify data movement and processing logic.
• Document existing pipeline architecture, data flows, transformation logic, and dependencies.
• Translate existing SAS DI logic into detailed 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 to clarify existing logic.
• 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.

Required Technical Skills

• 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.

Preferred Qualifications

• Experience in SAS migration or legacy data modernization projects.
• Experience working in banking, financial services, or other regulated data environments.
• Familiarity with SAS Enterprise Guide, SAS Management Console, and SAS metadata.
• Exposure to cloud data platforms or modern data engineering technologies.
• Experience with data reconciliation, validation, and migration testing.
• Ability to communicate technical logic clearly to business and technical stakeholders.

Ideal Candidate Profile

The 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.

Candidates with strong SAS DI migration assessment and technical specification experience will be preferred over candidates focused exclusively on new ETL development.