Lead Data Engineer - Data Engineering 4C

Job Title: Lead Data Engineer - Data Engineering 4C Company: Genpact Job Category: SAP MM Roles & Responsibilities: Lead Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook. Job Description Roles & Responsibilities We are seeking a seasoned Lead SAP Data Quality Specialist to drive enterprise data profiling, remediation, and governance initiatives. In this role, you will serve as the primary expert on SAP Information Steward (IS), supported by strong SAP Data Services (BODS) and advanced Microsoft SQL database skills. You will establish data quality scorecards, enforce business validation rules, and ensure high-integrity data across modern SAP landscapes (ECC, S/4HANA, and HANA Cloud) Key Responsibilities * Should have 2-3 years of experience in SAP Information Steward and SAP Data Services (BODS). * SAP Information Steward Rule & Quality Management: Lead end-to-end data profiling, root-cause anomaly analysis, and validation rule design using Data Insight, Cleansing Package Builder, Cleansing Advisor, Match Review, and Custom Attributes. * Scorecards & Trend Monitoring: Build, automate, and maintain Data Insight scorecards in SAP IS to track continuous quality metrics and report compliance trends to stakeholders. * Metadata & Lineage Governance: Configure and maintain enterprise Metadata Repositories across multi-RDBMS landscapes (SQL Server, Oracle, SAP HANA) to ensure end-to-end data lineage, impact analysis, and clear data definitions. * SAP BODS Data Pipelines: Architect, optimize, and maintain complex BODS data flows for extraction, cleansing, transformation, and loading, leveraging ABAP CDS Views and ODP frameworks. * Complex Data Transformation & Deduplication (SAP Data Services): Design and optimize complex SAP Data Services (BODS) data flows, implementing advanced transforms (Match, Associate, User-Defined, and Data Cleanse) to automate record linkage, resolve master data duplicates, and enforce survivorship strategies. * Advanced MS SQL Database Engineering: Develop complex T-SQL queries, views, stored procedures, and staging scripts to profile, isolate, and remediate low-quality data upstream. * S/4HANA & Cloud Data Migration: Plan and execute Data Migration (DM) objects, load sequences, cutover strategies, and object dependencies using S/4HANA Migration Cockpit (including Direct Transfer) and traditional techniques (IDoc, LSMW, BDC). * Cross-Module Functional Alignment: Apply deep knowledge of core SAP master and transactional data objects (Material, Customer/BP, Vendor, Finance) along with standard screen extensions (Z-fields). * Cross-Functional Enablement & Governance: Partner with business analysts and IT data stewards to translate data requirements into validation rules, deliver detailed DQ reports, and provide hands-on SAP IS user training. Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle Agile Methodology, Client Relations, Consumer Packaged Goods (CPG), Data Services, People Leadership, Personal Effectiveness, Risk Management, SAP BO Data Services (BODS), SAP Business Objects Data Services, SAP Information Steward, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling Work Shift - Work Location: KA, India Availability: Full time

Minimum qualifications * Education: Bachelor’s degree in computer science, Information Technology, or a related field. * Overall Experience: 2-3 years in enterprise Data Management, Data Quality (DQ), Governance, and Migration. * SAP Information Steward (Core): 5+ years of hands-on expertise with Data Insight profiling, scorecards, validation rules, Metadata Management, Cleansing Package Builder, and Match Review. * SAP Data Services / BODS: 5+ years building complex ETL/DQ workflows, specifically using Match Transform, Data Cleanse, and survivorship logic for deduplication. * Microsoft SQL Server: Strong T-SQL proficiency (complex stored procedures, CTEs, indexing, views, and staging tables) for upstream data profiling and remediation. * SAP Integration & Modern Frameworks: Hands-on experience with S/4HANA Migration Cockpit, ABAP CDS Views, ODP extraction, and traditional load methods (IDocs, LSMW, BDC). * Functional Domain Knowledge: Strong understanding of core SAP master data objects (Business Partner, Material, Vendor, Finance) and object dependency mapping. * Core Competencies: Strong analytical, communication, and cross-functional stakeholder collaboration skills. * Excellent customer facing skills that include conducting compelling technical briefing& demonstrations including issues, status reports and resolving impediments. Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Language Proficiency - Key Skills: Procurement, Data Migration, IDoc Salary: Not disclosed