Senior Data Engineering Leader Position

4 hours ago

Vadodara, Gujarat, India beBeeDataEngineeringLeader Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity: Data Engineering Leader

We are seeking an experienced Data Engineering leader to drive the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt.

  • Design and implement modular, test-driven ELT pipelines using dbt on Snowflake with optimal performance and cost efficiency.
  • Create layered data models (e.g., staging, intermediate, mart layers) aligned with dbt best practices and industry standards.
  • Lead the ingestion of structured and semi-structured data from APIs, flat files, cloud storage into Snowflake.
  • Optimize Snowflake for maximum performance and minimize costs 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.
  • Develop and enforce robust data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
  • Collaborate with analysts, data scientists, architects, and stakeholders to deliver validated, business-ready data assets.
Requirements

The ideal candidate will have 5-8 years of experience in data engineering roles with hands-on experience working with Snowflake and dbt in production environments.

  • Hold a degree in computer science, Data Engineering, or a related field.
  • Possess certifications such as SnowPro Advanced, dbt Certified Developer or similar.
Skills
  1. Expert knowledge of SQL and Snowflake including performance optimization, storage layers, query profiling, clustering, and cost management.
  2. Experience in dbt development including modular model design, macros, tests, documentation, and version control using Git.
Benefits
  • Work with cutting-edge technologies and modern data architecture at scale.
  • Collaborate with a talented team of data professionals.
  • Grow leadership skills through project ownership and mentorship.
  • Competitive compensation, flexible work options, and continuous learning environment.

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