Senior Snowflake Data Engineer for AI-Powered Pipelines

Luxoft DXC

Polska

Presencial

PLN 180.000 - 240.000

Jornada completa

Hace 7 días
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Descripción de la vacante

Luxoft DXC is seeking a Senior Snowflake Developer to design, develop, and maintain scalable data solutions in a data-centric environment. You will translate requirements into efficient Snowflake implementations, build data pipelines, and ensure data quality across the lifecycle.

You will collaborate with data architects, analysts, and stakeholders to deliver robust, production-grade data platforms, leveraging Snowflake, Python, and DBT, with CI/CD pipelines in Azure DevOps.

Formación

  • Experience designing Snowflake databases, schemas, and data layers.
  • Strong knowledge of Snowflake architecture and best practices.
  • Experience building scalable data pipelines and ETL.

Responsabilidades

  • Design Snowflake databases, schemas, views, and data layers.
  • Manage RBAC and data access controls.
  • Work with Snowpipe, external stages, and batch loads.
  • Build and support production-grade Snowflake pipelines.
  • Write optimized SQL for ELT processes.
  • Utilise Python for data processing and automation.
  • Develop and maintain complex Snowflake ETL pipelines.
  • Collaborate with data architects, analysts, and stakeholders.
  • Automate DBT jobs and CI/CD with Azure DevOps.
  • Ensure data quality, integrity and compliance.
  • Troubleshoot and optimize data processes and queries.
  • Document data models and workflows; build tests and mock data.

Conocimientos

Snowflake
SQL
Python
ETL
Data pipelines
RBAC
Data governance
AWS knowledge
Streamlit knowledge

Herramientas

DBT
Azure DevOps

Descripción del empleo

Luxoft DXC is seeking a Senior Snowflake Developer to design, develop, and maintain scalable data solutions in a data-centric environment. You will translate requirements into efficient Snowflake implementations, build data pipelines, and ensure data quality across the lifecycle.

You will collaborate with data architects, analysts, and stakeholders to deliver robust, production-grade data platforms, leveraging Snowflake, Python, and DBT, with CI/CD pipelines in Azure DevOps.

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