Walk-in | Snowflake Data Engineer

Elabs Infotech; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Elabs Infotech is 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.

The role emphasizes expert Snowflake platform management, data warehousing concepts, data quality, performance tuning, and collaboration with stakeholders to deliver scalable architectures and reliable data pipelines.

Qualifications

• Snowflake platform implementation and management in enterprise environments.
• Strong knowledge of data warehousing concepts and relational databases (RDBMS).
• Ability to identify variances, discrepancies, data quality issues, and improve efficiency.
• Proficiency in troubleshooting and optimizing Snowflake-based data systems for performance and scalability.
• Ability to translate complex business requirements into scalable Snowflake architectures and workflows.
• Excellent communication skills for collaboration with stakeholders and cross-functional teams.

Responsibilities

• Lead the design and implementation of Snowflake data solutions tailored to business needs.
• Translate data requirements into effective Snowflake architectures and workflows.
• Provide guidance and support to ETL developers for high‑quality data mappings.
• Monitor system performance and proactively resolve data issues.
• Evaluate data systems for integrity, quality, and efficiency.
• Collaborate with cross-functional teams 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.
• Support troubleshooting and resolution of production data discrepancies.
• Contribute to continuous improvement of Snowflake performance, scalability, reliability, and data quality.

Skills

Snowflake

Data warehousing

RDBMS

Data quality

Performance tuning

ETL guidance

Cross-functional

Stakeholder comms

Governance

Job description

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.