Snowflake Data Engineer
Posted Updated
Summary
Data engineer (6-11 yrs) in Hyderabad who designs and manages Snowflake data platforms: translating business requirements into scalable Snowflake architectures, building and maintaining dbt models, and doing performance tuning and troubleshooting of data pipelines.
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.