Data Transformation Specialist

16 hours ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
About the Role

We are seeking an experienced and skilled Data Engineer to join our team. The ideal candidate will have expertise in building scalable, high-performance data transformation pipelines using Snowflake and dbt, as well as experience working in a consulting environment.

This role involves designing and implementing ELT pipelines using dbt on Snowflake, following industry-accepted best practices. You will also be responsible for building ingestion pipelines from various sources, including relational databases, APIs, cloud storage, and flat files into Snowflake.

The successful candidate will have excellent communication and collaboration skills, with the ability to present solutions and work closely with teams of analysts, data scientists, and architects. They will also have strong proficiency with Snowflake, including warehouse sizing, query profiling, data loading, and performance optimization.

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 modeling and transformation logic to support layered architecture, enabling reliable and reusable data assets.
  • Leverage orchestration tools such as Airflow, dbt Cloud, or Azure Data Factory to schedule and monitor data workflows.
  • Apply dbt best practices, including 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 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.

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