Senior Snowflake Developer (LATAM)

AI overview

Design, develop, and maintain data warehouse solutions using Snowflake while optimizing performance and collaborating with cross-functional teams to meet diverse business data needs.

As a Sr Snowflake Developer, you will play a crucial role in designing, developing, and maintaining our data warehouse solutions using Snowflake. You will collaborate closely with cross-functional teams to understand data requirements, implement efficient data models, and ensure the scalability, reliability, and performance of our data platform. Your responsibilities will include:


Responsibilities:

  • Designing and developing Snowflake data models, schemas, and pipelines to support business needs and data analytics requirements.
  • Optimizing Snowflake databases and queries for performance and scalability.
  • Implementing ETL processes to ingest, transform, and load data from various sources into Snowflake.
  • Developing and maintaining data pipelines using Snowflake's features such as Snowpipe, Tasks, and Streams.
  • Collaborating with data engineers, analysts, and stakeholders to understand data requirements and implement solutions that meet business objectives.
  • Troubleshooting and resolving data-related issues, ensuring data integrity and consistency.
  • Staying updated on the latest Snowflake features, best practices, and industry trends, and incorporating them into our data architecture and processes.


Knowledge, Skills & Abilities:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Snowflake Developer or similar role, with a strong understanding of Snowflake's architecture, features, and capabilities.
  • Proficiency in SQL, with experience in writing complex queries, stored procedures, and user-defined functions in Snowflake.
  • Hands-on experience with designing and optimizing Snowflake data models, schemas, and warehouses.
  • Experience with ETL tools and processes, including data ingestion, transformation, and loading into Snowflake.
  • Familiarity with data integration tools and techniques, such as CDC (Change Data Capture) and data replication.
  • Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve data-related issues.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Proven ability to manage multiple tasks and priorities in a fast-paced, dynamic environment.
  • Snowflake certification(s) (e.g., SnowPro Core, SnowPro Advanced) is a plus.


Benefits:

  • Opportunity to work with cutting-edge technology and drive innovation.
  • Flexible work environment with remote work options.
  • Professional development and training opportunities.
  • Dynamic and collaborative team culture.

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible work environment with remote work options.
  • Learning Budget: Professional development and training opportunities.
  • Innovation in technology: Opportunity to work with cutting-edge technology and drive innovation.
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