drjobs Lead Snowflake Engineer

Lead Snowflake Engineer

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking a Lead Snowflake Engineer to join our dynamic Data Engineering team. This role will involve owning the architecture implementation and optimization of our Snowflake-based data warehouse solutions while mentoring a team of engineers and driving project success. The ideal candidate will bring deep technical expertise in Snowflake hands-on experience with DBT (Data Build Tool) and a collaborative mindset for working across data analytics and business teams.

Key Responsibilities:

  • Design and implement scalable and efficient Snowflake data warehouse architectures and ELT pipelines.

  • Leverage DBT to build and manage data transformation workflows within Snowflake.

  • Lead data modeling efforts to support analytics and reporting needs across the organization.

  • Optimize Snowflake performance including query tuning resource scaling and storage usage.

  • Collaborate with business stakeholders and data analysts to gather requirements and deliver high-quality data solutions.

  • Manage and mentor a team of data engineers; provide technical guidance code reviews and career development support.

  • Establish and enforce best practices for data engineering including version control CI/CD documentation and data quality.

  • Ensure data solutions are secure compliant and aligned with privacy regulations (e.g. GDPR CCPA).

  • Continuously evaluate emerging tools and technologies to enhance our data ecosystem.


Qualifications :

  • Bachelors degree in Computer Science Information Technology or related field.

  • 6 years of experience in data engineering including at least 2 years of hands-on experience with Snowflake.

  • Strong experience with DBT for managing ELT transformations in a modern data stack.

  • Proficiency in SQL Python and experience working with large-scale data environments.

  • Hands-on experience with cloud platforms (AWS Azure or GCP).

  • Demonstrated experience leading engineering teams and managing end-to-end project delivery.

  • Strong understanding of data architecture warehousing concepts and dimensional modeling.

  • Excellent problem-solving communication and collaboration skills.

  • Familiarity with data governance security and privacy standards.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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