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.