Data Engineer

hace 5 días

Buenos Aires, Buenos Aires C.F., Argentina Allata A tiempo completo $60.000 - $120.000 al año
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 looking for a Snowflake Data Engineer to help our client unlock the full potential of their data and drive business growth. In this role, you will design and implement scalable data solutions that enable smarter decision-making and create actionable insights, supporting the client's journey toward a more efficient and data-driven organization. Role & Responsibilities:
  • Design, implement, and optimize scalable Snowflake data solutions.
  • Contribute to the overall data architecture and strategy.
  • Collaborate with cross-functional stakeholders to gather data requirements and translate them into effective solutions.
  • Develop efficient ETL/ELT pipelines to support analytics and data-driven applications.
  • Ensure data accuracy, consistency, security, and performance across the Snowflake environment.
  • Maintain comprehensive documentation for data processes, architecture, and best practices.
  • Work closely with DevOps teams to implement CI/CD pipelines for data workflows.
Hard Skills - Must have:
  • Proven experience as a Data Engineer with a strong focus on Snowflake.
  • Deep expertise in SQL for complex queries, performance tuning, and data modeling.
  • Experience in cloud-based environments.
  • Strong understanding of data warehousing concepts and best practices.
  • Knowledge of Agile methodologies and SDLC practices.
Hard Skills - Nice to have/It's a plus:
  • Python for data transformations and automation.
  • Power BI or other BI tools for visualization and reporting.
  • CI/CD processes and DevOps practices.
  • Experience integrating data from SAP or other ERP systems.
Soft Skills / Business Specific Skills:
  • Proactive, analytical mindset with strong problem-solving abilities.
  • Self-motivated, organized, and detail-oriented.
  • Excellent English communication skills, both written and verbal.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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