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Data Engineering Leader

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Key Roles and Responsibilities:

An experienced Senior Data Engineer is needed to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt. The ideal candidate will have a strong background in data engineering, excellent technical skills, and the ability to work closely with clients to translate business needs into robust data solutions.

The selected individual will be responsible for architecting and implementing modular, test-driven ELT pipelines using dbt on Snowflake, designing layered data models aligned with dbt best practices, and leading ingestion of structured and semi-structured data from APIs, flat files, cloud storage, and databases into Snowflake.

  • Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
  • Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
  • Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
  • Optimize Snowflake for performance and cost: 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.
  • Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
  • Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
  • Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
Requirements:

To be successful in this role, candidates should possess the following 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 a plus.
Preferred Skills:

The ideal candidate will have:

  • Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
  • Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.
  • Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory.
  • Comfortable working with data ingestion from cloud storage (e.g., Azure Data Lake, AWS S3) and APIs.
  • Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions.
  • Knowledge of modern data warehousing principles.
  • Experience implementing Medallion Architecture (Bronze/Silver/Gold layers).
  • Experience working with Parquet, JSON, CSV, or other data formats.
About Us:

We offer a dynamic work environment that fosters growth and collaboration. If you are passionate about data engineering and eager to make a meaningful impact, we encourage you to apply.