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Big Data Lead-Snowflake

Sequoia Connect

Ciudad de México

A distancia

USD 60,000 - 100,000

Jornada completa

Hace 20 días

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Descripción de la vacante

Una empresa innovadora y en crecimiento busca un líder en Big Data especializado en Snowflake. En esta emocionante posición, serás responsable de desarrollar y mantener procesos ETL, optimizar el rendimiento de Snowflake y diseñar soluciones de ingeniería de datos. Trabajarás con un equipo diverso y talentoso, colaborando para cumplir con los objetivos comerciales a través de soluciones de datos efectivas. Si tienes pasión por la automatización y la mejora continua, esta es la oportunidad perfecta para hacer una diferencia significativa en la experiencia del cliente.

Formación

  • 5+ años de experiencia en desarrollo ETL y ingeniería de datos.
  • Experiencia práctica con Snowflake en un entorno de implementación ELT.

Responsabilidades

  • Desarrollar y mantener procesos ETL para cargar datos en Snowflake.
  • Optimizar el rendimiento de Snowflake, incluyendo ajuste de consultas.

Conocimientos

ETL Development
Data Engineering
Snowflake
MS SQL
Python
Problem-Solving
Communication Skills

Herramientas

SSIS
SSAS
CI/CD
DevOps

Descripción del empleo

Description

Our client is a fast-growing automation-led next-generation service provider delivering excellence in IT, BPO, and consulting services. They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.

Our client’s Digital offerings have helped clients achieve operational excellence and customer delight. Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage. They are now on a journey of metamorphosing the experiences of the customer’s customers by leveraging our industry-leading delivery and execution model, built around the strategy— Automate Everything, Cloudify Everything, Transform Customer Experiences.

Powering our client’s complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client’s business. The digitally empowered workforce of our client represents various nationalities, comprising 19,833 employees, and lives the company’s philosophy of ‘customer success, first and always’. The company reported a 2020 global revenue of USD $845.04 Mn.

We are currently searching for a Big Data Lead-Snowflake:

Responsibilities

  • Develop and maintain ETL processes to load data from various sources into Snowflake.
  • Optimize Snowflake performance, including query tuning, clustering, and partitioning strategies.
  • Design and implement data engineering solutions following best practices.
  • Utilize MS SQL for data modeling, query optimization, and performance tuning.
  • Collaborate with cross-functional teams to understand business requirements and ensure data solutions align with objectives.
  • Implement and maintain data pipelines as part of ELT deployment strategies.
  • Work with programming and scripting languages such as Python, .NET, etc.

Requirements

  • 5+ years of experience in ETL development and data engineering.
  • 3+ years of hands-on experience with Snowflake in an ELT deployment environment.
  • Proficiency in MS SQL, data modeling, and query optimization.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.

Desired

  • Experience leading and managing database migration projects.
  • Background in the financial services industry.
  • Experience with data integration tools (SSIS, SSAS).
  • Familiarity with CI/CD and DevOps for data pipelines.
  • Snowflake certification (e.g., SnowPro Core) is preferred.

Languages

  • Advanced Oral English.
  • Native Spanish.

Note:

  • Fully remote.

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer.

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