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Architect - Enterprise Application - SAP N 4D

Genpact
Dongargarh, IND
Full-time
Mid
Onsite
Discovered 2 weeks ago
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Qualifications

  • Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering
  • Certifications
  • Certified Information Systems Security Professional (CISSP) - Workforce Academy OnlineWorkforce Academy Online
  • Agile Methodology, Banking Capital Markets, Collaboration Tools, SAP Analytics Cloud, SAP Cloud Platform Integration (CPI), SAP Global Trade Services, SAP Integrated Business Planning (IBP), SAP Solution Composer, SAP Solution Manager, SAP Success Factors, SAPUI5, SAP Warehouse Management System (WMS), Storytelling, Transaction Support, Treasury Accounting, Treasury Cash Management, Treasury Management
  • Language
  • English (Required)
  • Language Proficiency -
  • Proficient - C2
  • Additional Job Location -
  • Job Type
  • Regular
  • Master Skill List -
  • Enterprise Application - SAP N
  • Remote Type -
  • Office
  • Work Shift -
  • Day Job (India)
  • Why join Genpact?
  • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
  • Make an impact – Help global enterprises solve business challenges that matter
  • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
  • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
  • Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
  • Let’s build tomorrow together.
  • Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
  • Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Required Skills

  • Agile Methodology, Banking Capital Markets, Collaboration Tools, SAP Analytics Cloud, SAP Cloud Platform Integration (CPI), SAP Global Trade Services, SAP Integrated Business Planning (IBP), SAP Solution Composer, SAP Solution Manager, SAP Success Factors, SAPUI5, SAP Warehouse Management System (WMS), Storytelling, Transaction Support, Treasury Accounting, Treasury Cash Management, Treasury Management
  • Language
  • English (Required)
  • Language Proficiency -
  • Proficient - C2
  • Additional Job Location -
  • Job Type
  • Regular
  • Master Skill List -
  • Enterprise Application - SAP N
  • Remote Type -
  • Office
  • Work Shift -
  • Day Job (India)
  • Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Preferred Qualifications

  • Experience with SAP Information Steward (data quality profiling, rule building, metadata management).
  • Hands-on experience integrating SAP BODS with cloud data platforms (Azure Data Lake Storage Gen2, Snowflake, Databricks, or AWS S3).
  • Exposure to SAP Landscape Transformation (SLT) or SAP Data Intelligence / Datasphere.
  • Experience in large-scale multi-tenant enterprise environments supporting cross-functional business domains (Supply Chain, Finance, Commercial).
  • What Success Looks Like in the First 6 Months
  • Config-Driven Onboarding: Standard source table onboarding (source → landing/staging) is reduced to a configuration-driven process using reusable BODS templates, drastically reducing manual job creation.
  • Automated Retention & Purging: Automated partition/date-based archiving and retention mechanisms are operational across staging repositories.
  • Operational Routing Rules: A central metadata-driven routing table governs downstream extraction/distribution, dynamically applying required column masking and row filters.
  • Resilient DataOps: Automated alerting, execution telemetry, and standard environment promotion workflows are established and fully documented.

Responsibilities

  • Data Platform Services is building a governed, metadata-driven data integration and staging platform centered on SAP BusinessObjects Data Services (BODS) and enterprise databases/data lakes — spanning source ingestion (SAP ERP/S/4HANA, non-SAP systems), a source-faithful central staging repository, long-term archival, and controlled distribution to multiple downstream systems.
  • We're looking for a DataOps Engineer who treats ETL pipeline design, data flows, and access-control logic as configuration, not one-off code — someone who builds and maintains systems where metadata tables and control frameworks drive what gets executed (jobs, interfaces, delta loads, transformations, and security masking), rather than hand-crafting individual one-off BODS jobs for every new dataset or consumer.
  • You'll work across ingestion (landing → central staging → archive), retention/partitioning strategy, and the routing/distribution rules engine that determines how data is extracted, transformed, filtered, or masked across multiple major downstream systems.
  • Build and operate robust batch and incremental change data capture (CDC) ingestion pipelines using SAP Data Services (BODS) from SAP (ECC, S/4HANA, SLT, ODP/Extractors) and non-SAP sources into central staging repositories/databases (e.g., SQL Server, Oracle, SAP HANA, or Cloud Storage).
  • Design and maintain metadata-driven ETL generation & execution frameworks — where dataset onboarding (new source table, delta logic, schema mapping, validation rules) is driven by configuration tables and reusable BODS templates/scripts rather than creating bespoke data flows from scratch.
  • Implement and maintain partition-based retention, database archiving, and extraction routines for historical data and rolling window retention policies (e.g., current + N prior years).
  • Build and maintain a dataset routing-rules engine: a governed metadata table (splittable, target_systems[], row_filter_expr, column_mask_expr) that programmatically directs and transforms BODS distribution jobs and target views per downstream system.
  • Own BODS repository architecture & governance: manage local/central repositories, Data Services Management Console (DSMC), user access security, environment promotion (Dev/Test/Prod), and execution auditing/lineage.
  • Drive DataOps & CI/CD automation: streamline BODS export/import/transport automation, repository synchronization, and job scheduling via Enterprise Scheduling tools (e.g., Autosys, Control-M, Airflow, or Azure Data Factory).
  • Monitor pipeline health, job execution logs, CDC checkpoint integrity, schema drift, and data SLAs; establish automated alerting and self-healing for job failures and data-freshness breaches.
  • Collaborate with upstream SAP functional/basis teams to define data contracts (e.g., Delta queue/ODP parameters, timestamps, extraction load impact) and downstream teams to translate their access/filter requirements into routing rules.
  • Document pipeline architecture, data dictionaries, retention policies, and routing logic for auditability and seamless developer onboarding.
  • 🛠️ Required Skills & Experience
  • Core Platform & SAP BODS
  • Hands-on experience with SAP Data Services (BODS 4.x) designing complex Batch Jobs, Real-time Services, Workflows, Data Flows, and custom Scripts/Functions.
  • Strong expertise in extracting data from SAP environments (SAP S/4HANA, ECC, BW, ODP extractors, SLT, IDocs, RFC/BAPIs) as well as non-SAP flat files, REST APIs, and relational databases.
  • Deep proficiency in SQL and relational database internals (e.g., SAP HANA, SQL Server, Oracle): query optimization, indexing, table partitioning, push-down SQL execution, and incremental CDC logic.
  • Solid experience with BODS Central Repository management, object check-in/out workflows, version control, and multi-user development standards.
  • Metadata-Driven Engineering (Critical)
  • Demonstrable background designing or maintaining metadata/config-driven ETL frameworks — e.g., control/registry tables driving dynamic SQL generation, parameterized BODS global variables, or generic reusable data flow templates.
  • Strong understanding of keeping generated ETL processes and target tables in sync with a source-of-truth ruleset, including schema versioning and change auditability.
  • Experience implementing automated audit logging, error handling, row-count reconciliations, and execution metrics captured directly via BODS scripts and database tables.
  • Platform Engineering / DataOps
  • ETL Orchestration & Scheduling: Experience managing automated job schedules and dependency management via BODS Management Console, Azure Data Factory, Control-M, Airflow, or Autosys.
  • CI/CD & Version Control: Experience applying software engineering discipline to BODS (e.g., Git integration/documentation, automated repository migrations, deployment scripts).
  • Scripting & Automation: Strong scripting skills using Python, PowerShell, or Bash to automate file transfers, API interactions, and operational tasks around the BODS platform.
  • Monitoring & Observability: Hands-on experience setting up alerting, performance bottleneck troubleshooting (memory/buffer tuning in BODS), and data validation frameworks.
  • Governance & Collaboration
  • Working knowledge of enterprise data governance: access control models, data lineage, retention/compliance-driven deletion, and data masking/obfuscation techniques for sensitive data (PII).
  • Experience serving multiple downstream consumers with varying analytical and operational requirements by delivering filtered and governed interfaces.
  • Clear written communication habits; ability to articulate complex ETL architectures and governance rules to both technical and non-technical stakeholders.

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