Senior Snowflake Data Engineer

4 days ago

Pune, Maharashtra, India beBeeSnowflake Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Snowflake Developer

Overview:

We are seeking an experienced and skilled Snowflake developer to join our team. The ideal candidate will have a strong background in data warehousing, ETL/ELT development, and a deep understanding of the Snowflake platform.

Responsibilities:

  • Design & Develop Data Pipelines: Architect, build, and maintain scalable ETL/ELT data pipelines using Snowflake and Python to ingest, transform, and load large and complex datasets from various sources.
  • Data Modeling & Optimization: Develop and implement robust data models, including data marts and data warehouses, to support business intelligence, analytics, and reporting requirements. Optimize Snowflake queries and overall platform performance to ensure efficient data processing.
  • Best Practices & Governance: Enforce data governance standards, maintain data quality and integrity, and implement best practices for data management, security, and compliance within the Snowflake environment.
  • Cross-functional Collaboration: Partner with cross-functional teams, including business stakeholders, data analysts, and other technical teams, to gather requirements, translate business needs into technical solutions, and deliver high-quality data products.
  • Platform Support & Reliability: Provide operational support for the Snowflake platform, including monitoring, troubleshooting, and resolving platform-related issues to ensure system stability and reliability.
  • Data Quality & Automation: Design and implement data validation routines and automated data quality checks to ensure the accuracy and reliability of data across all pipelines and datasets.

Requirements:

  • Experience: A minimum of 8 years of professional experience in data engineering, data warehousing, or a related field.
  • Snowflake: Strong, hands-on experience with Snowflake is non-negotiable. This includes proficiency in Snowflake architecture, advanced SQL, Snowpipe, data sharing, and security features.
  • Programming: Must be highly proficient in Python for building data pipelines, automation scripts, and custom data processing solutions.
  • SQL: Expert-level knowledge of SQL for complex data manipulation, query optimization, and stored procedure development.
  • CI/CD: Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, Azure DevOps) for automated deployment and testing of data solutions.
  • Graph Database: Practical experience or a solid understanding of Graph Databases is a plus.
  • Soft Skills: Excellent communication and collaboration skills are essential for working with diverse teams and stakeholders.

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