Capgemini

Global consulting, technology services, outsourcing

SAP Signavio

Data EngineeringUpdated on Nov 14

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 10 years of experience as a Data Engineer, with hands-on expertise in SAP Signavio and process mining solutions.
Strong knowledge of SAP data structures, including S/4HANA, ECC, BW, and related enterprise systems.
Proficiency in SQL, Python, ETL frameworks, and cloud platforms such as Azure Data Factory, Databricks, and ADLS.
Experience with data modeling, process analytics, data governance, and performance optimization.
Strong analytical, problem-solving, communication, and cross-functional stakeholder management skills.

Responsibilities

Design and maintain scalable data pipelines that integrate SAP (S/4HANA, ECC, BW) and non-SAP data sources into SAP Signavio.
Develop ETL/ELT processes for process mining, process analytics, and operational reporting requirements.
Support SAP Signavio Process Intelligence and Process Insights by ensuring accurate and complete event log data.
Implement data quality checks, validation rules, and performance optimization for reliable analytics.
Collaborate with business stakeholders, functional consultants, and transformation teams to deliver process improvement initiatives.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

Designed and maintained scalable data pipelines to integrate SAP (S/4HANA, ECC, BW) and non-SAP data sources into SAP Signavio.

Developed ETL/ELT processes for process mining, process analytics, and operational reporting requirements.

Supported SAP Signavio Process Intelligence and Process Insights by ensuring accurate and complete event log data.

Implemented data quality checks, validation rules, and performance optimization for reliable analytics.
Collaborated with business stakeholders, functional consultants, and transformation teams to deliver process improvement initiatives.

Your Profile

10+ years of experience as a Data Engineer with hands-on expertise in SAP Signavio and process mining solutions.

Strong knowledge of SAP data structures including S/4HANA, ECC, BW, and related enterprise systems.

Proficient in SQL, Python, ETL frameworks, and cloud platforms such as Azure Data Factory, Databricks, and ADLS.

Experienced in data modeling, process analytics, data governance, and performance optimization.
Strong analytical, problem-solving, communication, and cross-functional stakeholder management skills.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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