Otis
Data Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
4 September 2026
What they need
Date Posted:
Country: India
Location: Bengaluru
Job Summary
Job Title: Data Engineer
Years of experience: 5-8 Years
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.
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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