at Capgemini
ConsultanciesPosted 7 days ago
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**Data Engineer & Data Architecture Lead:** Design and implement enterprise-scale data solutions across cloud and hybrid environments. Build robust ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, Databricks, Synapse, SQL, Python, and Spark. Define and implement data governance, quality, and security standards. Architect scalable solutions using Azure Data Stack and integrate data from various platforms like Oracle, SAP, Salesforce, and PostgreSQL. Provide technical leadership for data engineering initiatives. Requires strong experience in data engineering, data architecture, data integration, and data governance, with expertise in listed technologies.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments.
- Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark.
- Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms.
- Architect scalable solutions leveraging the Azure Data Stack, while integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL.
- Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization, and collaboration with business and technical stakeholders.
Your Profile
- Strong experience in Data Engineering, Data Architecture, Data Integration, and Data Governance with the ability to design end-to-end enterprise data solutions.
- Hands-on expertise in Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL, Python, and Spark.
- Strong understanding of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platforms.
- Exposure to AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly desirable.
- Experience with reporting and analytics platforms such as Power BI and Microsoft BI, along with strong technical leadership and stakeholder-management capabilities.
What you will love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
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
