Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value to our stakeholders.

In 2025, Sealed Air generated $5.4 billion in sales and has approximately 16,100 employees who serve customers in 119 countries/territories. To learn more, visit www.sealedair.com.

Senior Fabric Data Engineer

About The Role

We are building a modern, enterprise-scale data platform on Microsoft Fabric and are looking for a Lead Data Engineer to drive the design and delivery of robust, scalable data pipelines.

This role is hands-on and execution-focused. You will own the end-to-end data engineering lifecycle—from ingestion to transformation to serving—while applying medallion architecture principles (Bronze/Silver/Gold) to enable trusted, high-quality data for analytics and AI.

You’ll work at the intersection of engineering discipline and modern productivity—leveraging notebooks, automation, and emerging low-code/AI-assisted capabilities to accelerate delivery without compromising governance.

What are we looking for in you?

- 5–8+ years of experience in data engineering or analytics engineering
- Strong hands-on expertise with:
- Microsoft Fabric / Azure data ecosystem (or similar modern data platforms)
- Python, PySpark, and SQL
- Notebook-based development (clean, modular, production-ready code)

- Deep understanding of:

- Medallion architecture (Bronze/Silver/Gold)
- Data modeling (star schema, dimensional modeling)
- Data pipeline design and optimization

- Experience working with large-scale, high-volume data environments




- Proven ability to translate ambiguous requirements into scalable data solutions
- Comfort operating in a fast-paced, build-as-you-go environment with high ownership

Nice to Have

- Experience with SAP or ERP data integration
- Exposure to Power BI or semantic modeling layers
- Familiarity with data orchestration and workflow automation
- Experience leveraging AI-assisted development tools for code generation or optimization
- Understanding of data governance, lineage, and access control frameworks

Why do we need you?
- Design and build scalable data pipelines in Microsoft Fabric, leveraging Lakehouses, notebooks, and dataflows
- Implement and operationalize medallion architecture to ensure clean, reliable, and well-governed data layers
- Develop efficient, production-grade notebooks (PySpark/Python/SQL) with a focus on performance and reusability
- Lead data ingestion patterns across structured and unstructured sources (SAP, APIs, databases, files, etc.)
- Optimize pipelines for performance, cost, and reliability at scale
- Establish and enforce data engineering standards, naming conventions, and best practices
- Collaborate with analytics and business teams to ensure data is usable, trusted, and aligned to business outcomes
- Drive adoption of up-to-date development approaches, including:
- Low-code/no-code capabilities within Fabric
- AI-assisted development (e.g., Copilot/Codex-style tools) to accelerate engineering productivity

- Support CI/CD, version control, and deployment pipelines for data assets
- Mentor junior engineers and help elevate overall engineering maturity

What are our core values

Integrity

Determined

Innovative

Collaborative

Why work at Sealed Air?

We have a very diverse and inclusive culture.We invest in developing our people.



You can hone your expertise and further develop your career with a global leader in packaging solutions.You will work with talented and creative professionals working in a collaborative environment that celebrates insatiable curiosity and diverse ideas.If you are looking for a new challenge in a company deemed as essential service, then we want to hear from you!Please Note:

- You must have a work-rights to be considered for this job. A detailed is available.*No contacts from recruitment agencies please.Sealed Air does not accept unsolicited resumes from vendors (including without limitation search firms, staffing agencies, fee-based referral services and recruiting agencies) and will not pay any associated fees for unsolicited resumes presented to any employee of our company.Any resume submitted in the absence of a recruitment agreement with an approved vendor signed by an authorized representative of Sealed Air shall be deemed the sole property of Sealed Air.

Requisition id: 55313

Relocation: No

Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms.

Sealed

Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.
- Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo.

Sealed

Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at [email protected].

LINK1 MON1

📌 Senior Fabric Data Engineer (Mumbai)
🏢 Sealed Air
📍 Mumbai