Data Engineer

Bhuvi IT Solutions; México; A distancia; MXN 558.867 - 838.300; Jornada completa

Descripción de la vacante

A leading IT company is looking for a Data Engineer to join their remote team. The ideal candidate will have extensive experience in Snowflake and cloud platforms, with skills in SQL and Python. Responsibilities include designing data solutions, optimizing ETL pipelines, and providing mentorship to teams.

Formación

• 8+ years of experience in data engineering or architecture roles.
• 3+ years of hands-on experience with Snowflake.
• Strong understanding of data warehousing concepts and data modeling.

Responsabilidades

• Design scalable, secure, and high-performance Snowflake solutions.
• Develop and optimize data models on Snowflake.
• Implement data governance and auditing mechanisms.

Conocimientos

SQL

Python

Snowflake

Cloud Platforms

Descripción del empleo

18 hours ago Be among the first 25 applicants

Bhuvi IT Solutions has a global implementation team highly experienced in Salesforce development and acting as Cloud Trusted Advisors. We integrate seamlessly with your current Salesforce implementation team. By understanding each client's unique goals, we provide tailored solutions. Our approach includes thorough analysis of workflows and processes, leveraging years of industry best practices to drive success.

Role Description

This is a remote contract role for a Data Engineer in Location:Remote (LATAM)

8+ years of experience in data engineering or architecture roles.

3+ years of hands-on experience with Snowflake, including Snowflake design, configuration, and optimization.

Proficiency in SQL, Python, and Cloud Platforms (AWS, Azure, or GCP).

Strong understanding of data warehousing concepts, data modeling, and metadata management

Design scalable, secure, and high-performance Snowflake solutions to support business analytics and reporting needs.

Lead end-to-end implementation and migration projects involving Snowflake and legacy data systems.

Collaborate with data engineers, analysts, and business stakeholders to gather requirements and define data architectures.

Develop and optimize data models (star, snowflake, and normalized) and physical database designs on Snowflake.

Create efficient ETL/ELT pipelines using tools such as Snowpipe, dbt, Apache Airflow, or other integration frameworks.

Implement data governance, security, access controls, and auditing mechanisms.

Perform workload management, query performance tuning, and cost optimization within Snowflake.

Guide DevOps teams in setting up CI/CD pipelines for Snowflake development.

Provide technical leadership and mentorship to data engineering teams.

• Keep up to date with Snowflake features and best practices, providing recommendations for continuous improvement.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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