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Lead Data Engineer (Snowflake)

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Experience in Data Engineering on platforms like Databricks, Synapse, Snowflake, or SQL Server., Proficiency in SQL or Python, depending on the platform expertise., Familiarity with cloud environments, particularly AWS., Knowledge of Agile methodologies and SDLC practices..

Key responsabilities:

  • Contribute to the architecture of data solutions for clients.
  • Collaborate with stakeholders to gather data requirements.
  • Build scalable data processing solutions for data-driven applications.
  • Ensure data accuracy and maintain documentation for engineering processes.

Allata logo
Allata Scaleup https://allata.com/
201 - 500 Employees
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Job description

Allata is an IT company dedicated to strategy, architecture, and enterprise-level application development with offices in the US, India, and Argentina. We aim to be strategic advisors for our clients, focusing on helping them enhance or scale business opportunities, create efficiencies, automate processes through custom technologies, and find elegant solutions to inefficient problems.

We provide Data Analytics, Advanced Integrations, Product Launch, Experience Design, Support, Cloud, DevOps, Software Development, among other services. Our agile centralized development teams powered by our on-site senior leadership allow us to work with you as a stand-alone group be it integrating into your in-house dev teams or providing external architectural guidance.



We are seeking an enthusiastic Data Engineer to spearhead the transformation of our client's data management and integration landscape. Your expertise will be crucial in enhancing visibility across their supply chain to prevent losses and better understand market dynamics.

Role & Responsibilities:
  • Contribute to the overall architecture of the solution
  • Collaborate with different stakeholders to understand their data needs and requirements 
  • Build scalable and efficient data processing solutions to support data-driven applications 
  • Ensure data accuracy, consistency, and completeness 
  • Develop and maintain documentation related to data engineering processes and procedures 

  • Hard Skills - Must have:
  • Data Engineering on one of the following platforms: Databricks, Synapse, Snowflake, SQL Server, Fabric
  • Expert in SQL or Python depending on the platform you master
  • Previous engagements in cloud-based environments in AWS
  • SQL Server or comparable database engine
  • Knowledge of Agile and SDLC concepts, practices, and techniques 


  • Hard Skills - Nice to have/It's a plus:
  • Snowflake
  • Python
  • PowerBI
  • CICD
  • Devops
  • SAP

  • Soft Skills / Business Specific Skills:
  • Proactive analytical attitude, strong sense of self-motivation, organization and attention to detail.
  • Strong English communication skills, both written and spoken. 
  • Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Communication
    • Analytical Thinking
    • Detail Oriented
    • Self-Motivation

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