Lead Data Engineer (Snowflake)

Allata; Buenos Aires; Presencial; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An established industry player is looking for a Lead Data Engineer to transform data management and integration landscapes. This role involves building scalable data processing solutions and ensuring data accuracy across the supply chain. The ideal candidate will have strong expertise in data engineering platforms like Snowflake and SQL, along with a proactive analytical attitude. Join a dynamic team that values innovation and collaboration, where your contributions will significantly impact business efficiency and decision-making processes.

Qualificações

• Experience in data engineering on platforms like Databricks and Snowflake.
• Proficiency in SQL or Python, depending on the platform mastered.

Responsabilidades

• Contribute to the overall architecture of the data solution.
• Build scalable data processing solutions for data-driven applications.

Conhecimentos

Data Engineering

SQL

Python

AWS

Agile

Ferramentas

Databricks

Snowflake

SQL Server

PowerBI

CICD

DevOps

SAP

Descrição da oferta de emprego

Join to apply for the Lead Data Engineer (Snowflake) role at Allata.

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:

1. Contribute to the overall architecture of the solution.
2. Collaborate with different stakeholders to understand their data needs and requirements.
3. Build scalable and efficient data processing solutions to support data-driven applications.
4. Ensure data accuracy, consistency, and completeness.
5. Develop and maintain documentation related to data engineering processes and procedures.

Hard Skills - Must have:

1. Data Engineering on platforms such as Databricks, Synapse, Snowflake, SQL Server, or Fabric.
2. Expertise in SQL or Python, depending on the platform mastered.
3. Experience in cloud-based environments, particularly AWS.
4. Knowledge of SQL Server or comparable database engines.
5. Understanding of Agile and SDLC concepts, practices, and techniques.

Hard Skills - Nice to have/It's a plus:

1. Snowflake.
2. Python.
3. PowerBI.
4. CICD.
5. DevOps.
6. SAP.

Soft Skills / Business Specific Skills:

• Proactive analytical attitude, strong self-motivation, organization, and attention to detail.
• Strong English communication skills, both written and spoken.

Additional Details:

• Seniority level: Not Applicable.
• Employment type: Full-time.
• Job function: Information Technology.
• Industries: IT Services and IT Consulting.