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3 месяца назад

Lead Data Engineer (Snowflake)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Argentina/Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Data Engineer (Snowflake): Designing and optimizing high-impact data solutions and scalable ingestion architectures with an accent on data processing, transformation, and validation. Focus on building reliable datasets for analytics, implementing Snowflake ingestion architectures, and ensuring high data quality.

Location: Bogotá, Colombia

Company

hirify.global is a premier AI services provider committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.

What you will do

  • Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
  • Lead the design and implementation of scalable and reliable data ingestion architectures in Snowflake.
  • Implement data validation rules, checks, and monitoring processes to ensure accuracy and consistency.
  • Process and analyze large-scale datasets efficiently using SQL and Python.
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
  • Support ETL processes and file handling workflows for structured and semi-structured data.

Requirements

  • 4+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
  • Strong hands-on experience with Snowflake (Must).
  • Proficiency in Python and SQL for data processing and transformation.
  • Proven experience in data validation, transformation, and normalization.
  • Experience building and maintaining ETL pipelines and ingestion workflows.
  • Ability to work in cross-functional environments and communicate effectively.

Nice to have

  • Experience with Salesforce data structures.
  • Familiarity with Tamarac or similar RIA platforms.
  • Experience with Compass or SharePoint integrations.
  • Experience with file handling and ingestion processes (CSV, JSON, batch files).

Culture & Benefits

  • Learning opportunities: Certifications in AWS, Databricks, and Snowflake.
  • Access to AI learning paths and Udemy Business for technical and soft skill development.
  • English lessons to support professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Structured career development plans and mentorship programs.
  • Flexible working options and company-provided equipment.

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