Chief Data Architect

1 day ago

Shimoga, Karnataka, India beBeeDatabase Full time ₹ 22,00,000 - ₹ 25,90,000
Data Engineer Position

Overview

We are seeking an experienced Data Engineer to collaborate with our team and drive the development of scalable, high-performance data transformation pipelines using Snowflake and dbt.

Key Responsibilities:

  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 modeling 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.

Requirements

Experience working with data engineering tools such as Snowflake, dbt, and orchestration tools like Airflow or Azure Data Factory.

Strong understanding of database concepts, data modeling, and data transformation logic.

Proficiency in SQL and ability to write optimized queries.

Excellent problem-solving skills and attention to detail.

Ability to work collaboratively in a team environment.

Benefits

Opportunity to work with a talented team of professionals.

Flexible work arrangements and remote work options.

Ongoing training and professional development opportunities.

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