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Data Engineer

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Onsite

Data Engineer

Otis

Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeData AnalysisMachine LearningAIAzure

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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