Highly Skilled Data Engineering Professional

1 day ago

Erode, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,01,00,000
Job Description

As a senior data engineer, you will be responsible for designing and implementing scalable data pipelines. Your role will involve working closely with clients to translate business needs into robust data solutions.

You'll lead the development of modular, high-performance data pipelines using Snowflake and dbt. This includes architecting and implementing ELT pipelines, designing layered data models, and optimizing Snowflake for performance and cost.

  • Design and implement modular, test-driven ELT pipelines using dbt on Snowflake.
  • Develop layered data models (e.g., staging, intermediate, mart layers) aligned with dbt best practices.
  • Lead the 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.
Requirements
  • Bachelor's or master's degree in computer science, data engineering, or a related field.
  • Certifications such as SnowPro Advanced, dbt Certified Developer are a plus.
Experience
  • 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.
Technical Skills
  1. Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
  2. Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.
Programming Languages
  1. Python: For data transformation, notebook development, automation.
  2. SQL: Strong grasp of SQL for querying and performance tuning.
  3. Jinja: Exposure to Jinja for advanced dbt development.
Soft Skills & Leadership
  • Ability to thrive in client-facing roles with competing/changing priorities and fast-paced delivery cycles.
  • Stakeholder Communication: Collaborate with business stakeholders to understand objectives and convert them into actionable data engineering designs.
  • Project Ownership: End-to-end delivery including design, implementation, and monitoring.
  • Mentorship: Guide junior engineers and establish best practices; build new skills in the team.
  • Agile Practices: Work in sprints, participate in scrum ceremonies, story estimation.

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