Snowflake Engineer

3 weeks ago

Secunderabad, India YO HR Consultancy Full time

Experience : 3 to 5 Years.Qualifications : Qualifications : - 35 years in data engineering; 2+ years hands-on with Snowflake and dbt.- Proven experience building and deploying dbt models in production.- Expert SQL skills and strong understanding of ELT principles.- Experience with Git, CI/CD, and team-based deployment workflows.- Familiarity with data quality and validation practices (e.g., dbt tests and dbt docs).Preferred Qualifications : - Experience with data modeling (Kimball or dimensional approaches).- Familiarity with orchestration tools such as dbt Cloud, Airflow, or Azure Data Factory.- Experience optimizing Snowflake performance (clustering, materializations, query tuning).Job Description :We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team.The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt and be able to effectively work in a consulting setup.In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the clients organization.Key Responsibilities :- Design and implement scalable ELT pipelines using dbt on Snowflake, following industry accepted best practices.- Build ingestion pipelines from various sources including relational databases, APIs, cloud storage and flat files into Snowflake.- Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.- Leverage orchestration tools (e.g., Airflow,dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.- Apply dbt best practices : modular SQL development, testing, documentation, and version control.- Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.- Apply CI/CD and Git-based workflows for version-controlled deployments.- Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.- Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.- Write well-documented, maintainable code using Git for version control and CI/CD processes.- Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.- Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions. (ref:hirist.tech)

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