Lead Data Engineer (Snowflake)

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

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 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.