Description:

Allata is an IT company focused on strategy, architecture, and enterprise-level application development with offices in the US, India, and Argentina.
The company aims to be strategic advisors for clients, enhancing business opportunities, creating efficiencies, automating processes, and providing elegant solutions to inefficient problems.
The position is for a Lead Data Engineer to transform the client's data management and integration landscape.
The role involves enhancing visibility across the supply chain to prevent losses and better understand market dynamics.
Responsibilities include contributing to the overall architecture of the solution, collaborating with stakeholders to understand their data needs, building scalable data processing solutions, ensuring data accuracy and completeness, and developing documentation related to data engineering processes.

Requirements:

Candidates must have experience in Data Engineering on platforms such as Databricks, Synapse, Snowflake, SQL Server, or Fabric.
Expertise in SQL or Python is required, depending on the platform mastered.
Previous experience in cloud-based environments, specifically AWS, is necessary.
Familiarity with SQL Server or a comparable database engine is required.
Knowledge of Agile and SDLC concepts, practices, and techniques is essential.
Nice to have skills include Snowflake, Python, PowerBI, CICD, DevOps, and SAP.
Candidates should possess a proactive analytical attitude, strong self-motivation, organization, and attention to detail.
Strong English communication skills, both written and spoken, are required.

The position offers the opportunity to work in a dynamic and innovative environment.
Employees will have the chance to collaborate with a diverse team of professionals.
The role allows for remote work flexibility.
Allata provides opportunities for professional growth and development in the field of data engineering.