Elabs Infotech
Walk-in || Snowflake Data Engineer
Skills
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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