Custom Software Engineer at Accenture

Coimbatore, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 7.5 years of experience (preferred at least 10 years in SAP Analytics, Business Intelligence, or Business Warehouse in a professional services advisory firm or publicly traded organization)
15 years full-time education
Must have skills: SAP BW/4HANA Data Modeling & Development, SAP Profitability & Performance Mgt PaPM
Comprehensive understanding of SAP HANA data modeling concepts, including creating calculation views, attribute views, analytical views, and Core Data Services (CDS)
Experience with data provisioning, data access security, and proficiency in using SAP HANA Studio
Completed at least one end-to-end implementation of SAP HANA 1.0 and 2.0, with hands-on experience in SAP HANA SQL and/or SAP S/4HANA
Expertise in SAP HANA Analytics transformation solutions leveraging SAP HANA, ETL tools, and SAP BW applications
Strong knowledge of data warehousing, data modelling, and database concepts
Extensive experience in complex data integration, including ingestion and transformation from non-SAP and file-based systems to HANA datastores
Advanced understanding of databases on the HANA platform and development of sophisticated calculation views
Proficiency in report development based on SAP HANA modeling/applications and relevant HANA development
Hands-on experience and knowledge of SAP BW/4HANA, Analysis for Office (AFO), and SAP Analytics Cloud (SAC) analytics
Flexibility to provide business-as-usual and production support during off-hours, particularly during quarterly and annual financial closings
Preferred: Experience and understanding of fit-gap analysis for S/4HANA

Responsibilities

Design, build, and configure applications to meet business process and application requirements
Translate business requirements into effective data models that support strategic solutions
Collaborate with Business and Application Development teams to implement data strategies, construct data flows, and develop conceptual data models
Contribute to the design of data models and structures
Establish best practices for naming conventions and coding standards to ensure data model consistency
Develop technical design documents based on functional specifications
Create logical data models with associated metadata, employing best practices to maintain high data quality, scalability, and minimized redundancy
Identify opportunities to reuse data models in new environments
Perform reverse engineering of physical data models from databases and SQL scripts, ensuring accuracy and completeness of business data objects
Demonstrate experience in developing complex conceptual and logical data models
Analyze system integration challenges related to data and propose suitable solutions
Create HANA objects such as Calculation Views and Stored Procedures per functional requirements
Architect and design secure, robust BI solutions to deliver enterprise data to analytics and visualization tools, such as Analysis for Office
Gather and interpret business requirements, create or modify data mappings, prepare data for testing, execute, and validate results

Skills

SAP BW/4HANA

Data Modeling

SAP Profitability & Performance Management

PaPM

SAP HANA

Calculation Views

Attribute Views

Analytical Views

Core Data Services

CDS

SAP HANA Studio

Data Provisioning

Data Access Security

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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