Data Transformation Specialist

22 hours ago


Tirupati, Andhra Pradesh, India beBeeDataTransformation Full time ₹ 25,00,000 - ₹ 35,00,000
Job Title: Data Transformation Specialist

We are seeking a highly skilled and experienced data transformation specialist to join our organization. The ideal candidate will have a strong background in designing and implementing scalable, high-performance data pipelines using Snowflake and dbt.

The successful candidate will be proficient in building ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake. They will also have the ability to effectively work in a consulting environment and collaborate with multiple stakeholders.

  1. Design and implement scalable ELT pipelines using dbt on Snowflake, following industry-accepted best practices.
  2. Build ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
  3. 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.
  4. Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
  5. Apply dbt best practices: modular SQL development, testing, documentation, and version control.
  6. Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
  7. Apply CI/CD and Git-based workflows for version-controlled deployments.
  8. Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
  9. Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.
  10. Write well-documented, maintainable code using Git for version control and CI/CD processes.
  11. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  12. Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions.
Required Skills:
  • 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
  • Experience building and deploying dbt models in a production environment.
  • Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modelling (Kimball/Dimensional preferred).
  • Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
  • Experience with Git, CI/CD, and deployment workflows in a team setting.
  • Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory.
Benefits:
  • Opportunity to work on diverse and challenging projects in a consulting environment.
  • Collaborative work culture that values innovation and curiosity.
  • Access to cutting-edge technologies and a focus on professional development.
  • Competitive compensation and benefits package.
  • Be part of a dynamic team delivering impactful data solutions.
Education:
  • Bachelor's or master's degree in computer science, Data Engineering, or a related field.
  • Certifications such as Snowflake SnowPro, dbt Certified Developer Data Engineering are a plus.


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