Azure Data Engineering Careers at Capgemini (4–12 Years, Noida)
Capgemini, the global leader in engineering and technology services, is hiring Azure Data Engineers with 4 to 12 years of experience for their Noida office. This is not just another job—it’s a chance to work on cutting-edge projects, learn from global experts, and contribute to innovations that are transforming the world.
In this blog, we’ll walk you through everything you need to know about the role, the skills required, the benefits of working at Capgemini, and how you can apply.
Why Capgemini Engineering?
Capgemini Engineering is a driving force behind technological transformation across industries. From developing smart cars to optimizing healthcare delivery, Capgemini works with the world’s most innovative companies to bring visionary products and solutions to life.
With a global footprint of 340,000+ professionals across 50+ countries, Capgemini blends deep industry expertise with the latest in digital and cloud technology. The company is known for its people-first approach, inclusive culture, and commitment to sustainability and diversity.
When you join Capgemini, you’re not just joining a team—you’re becoming part of a global movement to use technology as a force for good.
The Opportunity: Azure Data Engineer
As an Azure Data Engineer at Capgemini, you’ll play a crucial role in designing, building, and optimizing data platforms on Microsoft Azure. You’ll be part of a fast-paced, high-impact team that works on end-to-end data solutions for clients across various industries.
This role is perfect for professionals with a strong background in Azure Data Factory (ADF), Azure Databricks (ADB), SQL-based data components, and experience in Python, PySpark, Scala, or Hive programming.
Your Key Responsibilities
In this role, you’ll work across multiple stages of the data lifecycle—from ingestion and transformation to orchestration and deployment. Here’s what you’ll be doing:
- Design and implement data pipelines using Azure Data Factory and Azure Databricks
- Work with Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics to handle large-scale data
- Write and maintain clean, scalable code in Python, PySpark, Hive, or Scala
- Set up and manage CI/CD pipelines to automate data workflows and ensure smooth deployment
- Collaborate with cross-functional teams including data scientists, cloud architects, and business stakeholders
- Monitor data quality and performance while ensuring compliance and governance
- Optimize data solutions for performance, scalability, and cost-efficiency on Azure
Must-Have Technical Skills
To succeed in this role, you need to be confident in using modern Azure data tools and have hands-on experience in scripting and automation. Below are the key technical requirements:
1.
Azure Data Factory (ADF)
- Orchestration of ETL/ELT pipelines
- Data movement across sources like Blob, SQL, Data Lake, and REST APIs
2.
Azure Databricks (ADB)
- Big data processing using Spark engines
- Integration with other Azure services like Event Hub, Synapse, and Data Lake
3.
Data Programming (Python/PySpark/Scala/Hive)
- Ability to write and debug large-scale data transformation scripts
- Experience with schema evolution, data partitioning, and performance tuning
4.
SQL and Azure SQL Warehouse
- Proficiency in writing complex SQL queries
- Experience in data modeling and optimization
5.
CI/CD for Data Pipelines
- Experience with DevOps tools (like Git, Azure DevOps, Jenkins)
- Automating deployment, testing, and monitoring for data workflows
Soft Skills That Matter
Capgemini believes in hiring well-rounded professionals who can thrive in a collaborative environment. Alongside technical expertise, here are the key soft skills valued in this role:
- Excellent verbal and written communication
- Strong interpersonal skills for team collaboration
- Self-driven and capable of working independently
- Quick learner who can adapt to fast-evolving technologies
- Strong problem-solving mindset with a can-do attitude
Who Should Apply?
This role is ideal for data engineers with 4 to 12 years of experience who want to work on enterprise-scale Azure projects. You’re a perfect fit if you:
- Have experience building cloud-native data solutions
- Enjoy solving complex data challenges
- Are passionate about innovation and continuous learning
- Want to make an impact with real-world business solutions
Why You’ll Love Working at Capgemini
Capgemini isn’t just a place to work—it’s a place to grow, lead, and belong. Here’s what makes the experience truly rewarding:
1.
Limitless Career Growth
With access to global projects, mentoring programs, and robust learning platforms, Capgemini empowers you to upskill and move into leadership roles at your own pace.
2.
Inclusive Work Culture
Diversity and inclusion are deeply embedded in Capgemini’s DNA. You’ll work in a culture where every voice matters and where innovation is born from collaboration and openness.
3.
Work-Life Balance
Capgemini prioritizes your well-being. With flexible work arrangements, a healthy work culture, and supportive policies, your personal life gets just as much importance as your professional one.
4.
Make a Social Impact
Capgemini actively supports causes like digital inclusion, climate action, and gender equality. You’ll have the chance to participate in initiatives that make a real difference.
5.
Global Recognition
Capgemini was named one of the World’s Most Ethical Companies and regularly features in lists of top employers worldwide. Joining Capgemini means becoming part of a brand that is trusted and respected across the globe.
Location Advantage: Noida
Based in Noida, this opportunity places you in one of India’s top IT and business hubs. With excellent connectivity, modern infrastructure, and a thriving tech ecosystem, Noida offers both career growth and lifestyle advantages. You’ll be working alongside some of the brightest minds in the industry, on projects that span across borders and industries.
How to Apply
If you’re ready to power your career in cloud data engineering and be part of a global team that’s redefining how the world uses technology, then this is your moment.
Apply now through the below link
Final Words
The world is running on data. As an Azure Data Engineer at Capgemini, you won’t just process data—you’ll unlock insights, power digital transformation, and shape smarter decisions for industries around the world.
Join a workplace where your skills are valued, your contributions make a difference, and your growth is unlimited. Join Capgemini Engineering.
