Unlock Scalable Data Transformation: Lead Senior Data Engineer

3 days ago

Mumbai, Maharashtra, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer Role

We are seeking a highly skilled and experienced Senior Data Engineer to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt. This individual will define architectural best practices, drive data transformation at scale, and collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.

  • Main Responsibilities:
  • Design and implement modular, test-driven ELT pipelines using dbt on Snowflake, ensuring optimal performance and cost efficiency.
  • Develop layered data models (staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
  • Ingest structured and semi-structured data from APIs, flat files, cloud storage, and databases into Snowflake.
  • Optimize Snowflake for performance and cost through warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
  • Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
  • Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
  • Establish and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
  • Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
  • Presents solutions to clients, engages in end-to-end project delivery in a consulting setup.

Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science, Data Engineering, or a related field.
  • Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are beneficial.
  • At least 5 years of experience in data engineering roles, with hands-on experience working with Snowflake and dbt in production environments.

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