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Walk-in || Snowflake Data Engineer

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Onsite

Walk-in || Snowflake Data Engineer

Elabs Infotech

Walk-in || Snowflake Data Engineer

Skills

Snowflake

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Seeking a Snowflake Specialist with 8 to 16 years of experience to design, implement, optimize, and manage Snowflake data solutions within complex enterprise data environments.

Job Description

  • Expertise in Snowflake platform implementation and management within complex data environments.
  • Strong understanding of data warehousing concepts and relational database management systems (RDBMS).
  • Ability to evaluate data systems for variances, discrepancies, data quality, and overall efficiency.
  • Proficient in troubleshooting and optimizing Snowflake-based data systems to enhance performance and scalability.
  • Skilled in translating complex business requirements into scalable Snowflake architectures and workflows.
  • Experience collaborating effectively with stakeholders and cross-functional teams with strong communication skills.
  • Familiarity with performance tuning and ensuring data integrity within Snowflake environments.

Preferred Candidate Profile

  • Lead the design and implementation of Snowflake data solutions tailored to meet business needs.
  • Translate complex data requirements into effective Snowflake architecture and workflows.
  • Provide guidance and technical support to ETL developers in developing accurate high-level and low-level data mappings.
  • Monitor and analyze data-system performance, proactively identifying and resolving issues.
  • Conduct regular evaluations of implemented data systems to ensure data integrity, quality, and system efficiency.
  • Collaborate with cross-functional teams and stakeholders to gather requirements and deliver optimal data solutions.
  • Participate in requirement analysis sessions and contribute to acceptance testing.
  • Ensure adherence to best practices, standards, and governance in Snowflake development and deployment.
  • Support troubleshooting and resolution of data discrepancies and production issues.
  • Contribute to continuous improvement of Snowflake performance, scalability, reliability, and data quality.

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