:

- 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 productive 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

📌 Snowflake (Bengaluru)
🏢 Infosys
📍 Bengaluru