Data Engineer & Data Architecture Lead

Role overview

Data Engineer & Data Architecture Lead at Capgemini

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.

Responsibilities

• Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization, and collaboration with business and technical stakeholders.

Employment details

• Your Role Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments.
• Location: Hyderabad [Pune] [Mumbai] [Bangalore] [India]

About the employer

• We offer a range of career paths and internal opportunities within Capgemini group.
• Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
• Make it real | www.capgemini.com

Benefits

• 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.

Additional role details

• Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
• 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.
• 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.
• You will also get personalized career guidance from our leaders.
• 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.
• 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.