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Snowflake Data Engineer

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Hybrid

Snowflake Data Engineer

Elabs Infotech

Snowflake Data Engineer

Skills

Data EngineeringSnowflakedbt

1 day ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

22 October 2026

What they need


Role & responsibilities

  • Expertise in Snowflake platform implementation and management within complex data environments.
  • Strong understanding of Data Warehousing concepts and RDBMS.
  • Ability to evaluate data systems for variances, discrepancies, data quality, and overall efficiency.
  • Proficient in troubleshooting and optimizing Snowflake-based data systems to improve performance and scalability.
  • Skilled in translating complex business requirements into scalable Snowflake architectures and data solutions.
  • Experience collaborating with business stakeholders and cross-functional teams.
  • Strong communication and requirement-gathering skills.
  • Familiarity with performance tuning, data integrity, and Snowflake best practices.
  • Experience with dbt for data transformation, modeling, testing, and deployment is required.

Preferred candidate profile

  • Lead the design and implementation of Snowflake data solutions aligned with business requirements.
  • Translate complex data requirements into effective Snowflake architecture, data models, and workflows.
  • Develop and maintain scalable dbt models, transformations, tests, and documentation.
  • Provide technical guidance and support to ETL developers in developing accurate High-Level Design (HLD) and Low-Level Design (LLD) data mappings.
  • Monitor and analyze data-system performance and proactively identify and resolve issues.
  • Perform Snowflake performance tuning, query optimization, warehouse optimization, and scalability improvements.
  • Evaluate implemented data solutions to ensure data integrity, quality, efficiency, and reliability.
  • Collaborate with cross-functional teams to gather requirements and deliver optimal data solutions.
  • Participate in requirement analysis, data mapping, solution design, and acceptance testing.
  • Ensure adherence to Snowflake, dbt, data engineering, development, and deployment best practices.
  • Troubleshoot data discrepancies and investigate issues across source, transformation, and target layers.
  • Contribute to continuous improvement of Snowflake and dbt development standards and processes.

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