Snowflake

Job Description:

• About the job
• Join a collaborative data engineering team where your work directly enables faster smarter decisions across the business
• In this role you ll help build and optimize modern cloud data solutions on Snowflake partnering closely with analytics engineering and stakeholders to deliver reliable scalable datasets
• You ll contribute to well modeled data layers using dbt promote strong engineering practices and continuously improve performance cost efficiency and data quality
• If you enjoy turning raw data into trusted analytics ready assets and like working in a culture that values ownership learning and teamwork this is a great opportunity to grow your impact while working with modern data stack technologies

Key Responsibilities:

• Key Responsibilities
• Design develop and maintain Snowflake based data warehouse solutions aligned to business and analytics needs
• Build and manage dbt models including incremental loads tests documentation and modular transformations
• Develop efficient ELT pipelines to ingest transform and curate data into analytics ready datasets
• Optimize Snowflake performance and cost through clustering strategies warehouse sizing query tuning and workload management
• Implement data quality checks reconciliation processes and monitoring to ensure trusted and consistent data outputs
• Collaborate with analysts and downstream consumers to translate requirements into robust data models facts dimensions and marts
• Support release management for data changes ensuring version control code reviews and reliable deployments
• Troubleshoot data issues end to end performing root cause analysis and implementing preventive fixes
• Minimum Qualifications
• BTECH MTECH MCA or MSC
• 3 5 years of experience in data engineering data warehousing roles
• Hands on experience with Snowflake including schema design SQL development and performance optimization
• Hands on experience with dbt Data build Tool for transformations testing and documentation
• Strong SQL skills with the ability to write optimized maintainable queries for large datasets
• Experience working with structured data modeling concepts and building curated layers for analytics consumption

Technical Requirements:

• Good to have skills
• Airflow Azure Data Factory AWS Glue Terraform Power BI

Additional Responsibilities:

• Preferred Qualifications
• Experience implementing end to end ELT patterns using dbt best practices macros packages reusable models exposures
• Familiarity with dimensional modeling and designing scalable marts for BI and self service analytics
• Experience with CI CD practices for analytics engineering automated testing environment promotion deployment workflows
• Strong understanding of data governance concepts such as lineage access controls and auditability in cloud data platforms
• Proven ability to collaborate cross functionally communicate clearly and deliver high quality data products in agile teams

Preferred Skills:

Technology->Data on Cloud-DataStore->Snowflake