Lead Data Engineer - Data Engineering 4C

Overview

Lead a SAP data quality and governance practice as the primary expert on SAP Information Steward, supported by SAP Data Services (BODS) and Microsoft SQL database skills, across ECC, S/4HANA and HANA Cloud landscapes.

What you'll do

• 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.
• Build, automate, and maintain Data Insight scorecards in SAP IS to track continuous quality metrics and report compliance trends to stakeholders.
• 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.
• Architect, optimize, and maintain complex BODS data flows for extraction, cleansing, transformation, and loading, leveraging ABAP CDS Views and ODP frameworks.
• Design and optimize complex SAP Data Services data flows, implementing advanced transforms (Match, Associate, User-Defined, and Data Cleanse) to automate record linkage, resolve master data duplicates, and enforce survivorship strategies.
• Develop complex T-SQL queries, views, stored procedures, and staging scripts to profile, isolate, and remediate low-quality data upstream.
• Plan and execute Data Migration objects, load sequences, cutover strategies, and object dependencies using S/4HANA Migration Cockpit (including Direct Transfer) and traditional techniques (IDoc, LSMW, BDC).
• Apply deep knowledge of core SAP master and transactional data objects (Material, Customer/BP, Vendor, Finance) along with standard screen extensions (Z-fields).
• 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.

What you'll need

• Bachelor's degree in computer science, Information Technology, or a related field.
• At least 10+ years of experience in SAP Information Steward and SAP Data Services (BODS).
• 6+ years in enterprise Data Management, Data Quality (DQ), Governance, and Migration.
• 5+ years of hands-on expertise with Data Insight profiling, scorecards, validation rules, Metadata Management, Cleansing Package Builder, and Match Review.
• 5+ years building complex ETL/DQ workflows, specifically using Match Transform, Data Cleanse, and survivorship logic for deduplication.
• Strong T-SQL proficiency (complex stored procedures, CTEs, indexing, views, and staging tables) for upstream data profiling and remediation.
• Hands-on experience with S/4HANA Migration Cockpit, ABAP CDS Views, ODP extraction, and traditional load methods (IDocs, LSMW, BDC).
• Strong understanding of core SAP master data objects (Business Partner, Material, Vendor, Finance) and object dependency mapping.
• Strong analytical, communication, and cross-functional stakeholder collaboration skills.
• Excellent customer facing skills that include conducting compelling technical briefings and demonstrations, including issues, status reports and resolving impediments.
• Language: English (Required), Proficient - C2.

Nice to have

• Certified Data Management Professional (Riversand).
• Databricks Certified Associate Developer for Apache Spark 3.0 or Apache Spark (Databricks Academy).
• Microsoft Certified: Azure Data Engineer Associate.
• Oracle Database 12c Certified Implementation Specialist.

Details

• Location: 1401-GIPL: Prestige Technology Park IV, Bangalore.
• Work mode: Hybrid.
• Work shift: Flex Time (India).
• Job type: Regular.