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.
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Allata (pronounced a-ley-ta) is a strategy, architecture and enterprise-level application development company focused on helping clients enhance or scale business opportunities, create efficiencies and automate processes through custom technologies.We are building a different kind of firm – focused on doing exciting, transformational work for great clients and bringing caring and dedicated people to make our clients goals a reality. Our vision is to build an energized group of talented professionals that can stand strong on their own but work better as a networked team. We enable business agility at the intersection of people, process, and technology. We provide solutions and expert services to assist businesses to become more nimble, transformative, and disruptive in their respective industries. We define vision, strategy, and value creation models for shaping strategic product designs, managing, and transforming enterprise delivery.Just as strongly as we care about our clients, we feel that it is important to give back to the community and non-profits that we are passionate about. Every month, Allata donates 2% of our net income to a charitable cause our team believes in.We live by our mantra: Family comes first, clients are king, we take great care of our people.
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.