Data Engineer

Otis Elevator Company; Karnataka; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Otis Elevator Company is seeking a Data Engineer in Bengaluru, India to design, build, and manage scalable, AI-ready data products on Snowflake and Azure. The role focuses on data governance, security, and enterprise-scale data pipelines, working with business and analytics teams to deliver reusable data solutions.

The ideal candidate has 5+ years of data engineering experience, strong SQL and data modeling, and hands-on experience with dbt and modern ELT frameworks, with a capability to

Qualifications

• 5+ years of Data Engineering experience.
• Strong expertise in Snowflake Data Cloud.
• Advanced SQL and data modeling skills.
• Experience with Azure Data Factory, Azure Data Lake, Azure Functions, and related Azure services.
• Hands-on experience with dbt or modern ELT frameworks.
• Strong knowledge of data warehousing and dimensional modeling concepts.
• Experience building enterprise-scale data pipelines.
• Understanding of data governance, metadata management, and security principles.
• Experience with CI/CD and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Build and manage scalable, governed, and AI-ready data products on Snowflake and Azure that enable analytics, business insights, and enterprise AI solutions.
• Understanding of data governance, metadata management, and security principles.
• Design, build, and maintain scalable data products and pipelines on Snowflake and Azure.
• Develop trusted, AI-ready datasets through semantic enrichment, metadata management, and data quality frameworks.
• Collaborate with business, analytics, and AI teams to translate requirements into reusable and scalable data solutions.
• Optimize Snowflake performance, security, and cost efficiency while supporting enterprise-scale workloads.
• Enable next-generation analytics and AI use cases through well-governed, discoverable, and reusable data assets.
• Contribute to platform standards, best practices, and engineering accelerators that improve scalability and delivery speed.

Skills

Data Engineering

Snowflake

SQL

Azure

dbt

Data Warehousing

CI/CD

Data Governance

Communication

Tools

Snowflake Data Cloud

Azure Data Factory

Azure Data Lake

Azure Functions

dbt

Job description

On-Site

1st Floor, Embassy Vajram Onyx, Embassy Tech Village, Outer Ring Road, Devarabisanahalli, Bengaluru, Karnataka - 560103, India.

Full time

20166885

Date Posted:

2026-10-12

Country:

India

Location:

1st Floor, Embassy Vajram Onyx, Embassy Tech Village, Outer Ring Road, Devarabisanahalli, Bengaluru, Karnataka - 560103, India.

Job Title: Data Engineer

Years of experience: 5-8 Years

On a typical day you will:

• Build and manage scalable, governed, and AI-ready data products on Snowflake and Azure that enable analytics, business insights, and enterprise AI solutions.

• Understanding of data governance, metadata management, and security principles

• Design, build, and maintain scalable data products and pipelines on Snowflake and Azure.

• Develop trusted, AI-ready datasets through semantic enrichment, metadata management, and data quality frameworks.

• Collaborate with business, analytics, and AI teams to translate requirements into reusable and scalable data solutions.

• Optimize Snowflake performance, security, and cost efficiency while supporting enterprise-scale workloads.

• Enable next-generation analytics and AI use cases through well-governed, discoverable, and reusable data assets.

• Contribute to platform standards, best practices, and engineering accelerators that improve scalability and delivery speed.

What you will need to be successful:

• 5+ years of Data Engineering experience .

• Strong expertise in Snowflake Data Cloud.

• Advanced SQL and data modeling skills .

• Experience with Azure Data Factory, Azure Data Lake, Azure Functions, and related Azure services.

• Hands-on experience with dbt or modern ELT frameworks.

• Strong knowledge of data warehousing and dimensional modeling concepts.

• Experience building enterprise-scale data pipelines.

• Understanding of data governance, metadata management, and security principles.

• Experience with CI/CD and DevOps practices.

• Strong analytical, problem-solving, and communication skills.

Preferred Skills

Experience with Generative AI, LLMs, and RAG architectures.

Knowledge of Snowpark, Snowflake Cortex, and AI/ML integration patterns.

Experience with Python, Spark, and API integrations.

Good to have Data Mesh and domain-oriented data architecture principles.

If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.

Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio.

You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.

When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge.

We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.

Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do. We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here (https://www.otis.com/en/us/our-company/esg) .

Become a part of the Otis team and help us #Buildwhatsnext!

Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at [e-mail].

Privacy Policy and Terms:

Click on this link (https://www.otis.com/corporate/privacy-policy/Job-Applicant/) to read the Policy and Terms

We go to great lengths to hire and develop the best people, and offer a supportive environment where employees are motivated and empowered to perform at their full potential. Today, we continue pushing the boundaries of what's possible to thrive in a taller, faster, smarter world.