Data Engineer Leader

2 days ago

Kolkata, West Bengal, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Lead Data Architect

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This role requires a skilled data engineer to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt.

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The ideal candidate will define architectural best practices, drive data transformation at scale, and work closely with clients to translate business needs into robust data solutions.

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  • Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
  • Design layered data models aligned with dbt best practices.
  • Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage, and databases into Snowflake.
  • Optimize Snowflake for performance and cost.
  • Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation.
  • 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.
  • Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting setup.

Key Requirements:

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  • 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.
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Technical Skills:

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  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.
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Data Modelling and Architecture:

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  1. Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions.
  2. Knowledge of modern data warehousing principles.
  3. Experience implementing Medallion Architecture (Bronze/Silver/Gold layers).
  4. Experience working with Parquet, JSON, CSV, or other data formats.
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Programming Languages:

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  1. Python: For data transformation, notebook development, automation.
  2. SQL: Strong grasp of SQL for querying and performance tuning.
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Security & Governance:

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  1. Experience implementing data quality checks using dbt tests.
  2. Data encryption, secure key management and security best practices for Snowflake and dbt.
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Soft Skills & Leadership:

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  • 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.

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