Lead Data Engineer - Data Engineering 4C

Overview

Lead the enterprise data quality, profiling, remediation and governance work on SAP Information Steward, supported by SAP Data Services (BODS) and advanced Microsoft SQL database skills, across SAP 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 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, including conducting compelling technical briefings and demonstrations, issue and status reporting, and resolving impediments.
• English language proficiency at C2 level (Required).

Nice to have

• Certifications listed in the posting: Certified Data Management Professional (Riversand), Databricks Certified Associate Developer for Apache Spark 3.0 and 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.
• Shift: Flex Time (India).
• Job type: Regular.