Job highlights

- Expertise in Microsoft Fabric, Azure Data Factory, Databricks, Azure Synapse, SQL, Python, Spark, and data governance

- Design and implement enterprise-scale data engineering and architecture solutions, build ETL/ELT pipelines, define data governance and security standards, and provide technical leadership

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 bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations

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 solid technical leadership and stakeholder-management capabilities.

What you will love about working here

Location - Hyderabad,Pune,Mumbai,Bengaluru

📌 Data Engineer & Data Architecture Lead (Mumbai)
🏢 Capgemini
📍 Mumbai