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

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.
- Solid 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.

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.

📌 Snowflake (Bengaluru)
🏢 Infosys
📍 Bengaluru