Data Transformation Specialist

1 week ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Title: Data Engineer

We are seeking a highly skilled and experienced professional to fill the role of Data Engineer.

  • Key Responsibilities:
  • Design, develop, and implement scalable data pipelines using dbt on Snowflake, adhering to industry-standard best practices and principles.
  • Build robust ingestion pipelines from various sources, including relational databases, APIs, cloud storage, and flat files, into Snowflake.
  • Develop and maintain data models and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
  • Utilize orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows, ensuring seamless integration and scalability.
  • Apply dbt best practices: modular SQL development, testing, documentation, and version control, to ensure high-quality and maintainable code.
  • Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design, resulting in improved data processing efficiency.
  • Implement Continuous Integration/Continuous Deployment (CI/CD) and Git-based workflows for version-controlled deployments, ensuring agile and rapid delivery of data assets.
  • Contribute to the growth of internal knowledge bases of dbt macros, conventions, and testing frameworks, promoting knowledge sharing and expertise within the team.
  • Collaborate with cross-functional teams, including data analysts, data scientists, and data architects, to understand requirements and deliver clean, validated datasets, aligning with business objectives.
  • Write well-structured, readable, and maintainable code using Git for version control and CI/CD processes, adhering to coding standards and best practices.
  • Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to foster collaboration and continuous improvement.
  • Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions, ensuring successful project outcomes.

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