• DelfosHR

Data Engineer

Actualizado: 9 jul 2019

Supply chain management company

Development Senior

Buenos Aires – Palermo or Remote

We're looking for a server side Data Engineer to join our client.


· Strong battle-tested data management and data integrations experience

· You are amazing at speaking the techno-functional talk with your business colleges, can understand the customer’s data.

· Prioritize action and rapid iteration over planning and perfection

· Flexible and comfortable working in a fast-paced and evolving environment

· Good command / proficient in spoken and written English

· Experience supporting and working with cross-functional teams in a dynamic environment

· Nice to have:

· Domain expertise in supply chain (4PL, 3PL, Logistics, Manufacturing, Inventory), with focus on integrations

· Experience with search engines and document-oriented databases

· Experience with AWS, SaaS startup experience are strong pluses

· RESTful web services experience


· 5+ years of experience with:

· Integration technologies such as APIs, Web Services and other ETL tools to process EDI messages, flat files, JSON, XML etc.

· Relational databases to develop stored procedures, triggers, and functions to enrich customer data (MySQL expertise is preferred).

· Integration tools such as Dell Boomi, Sterling Integrator, or equivalent

· Nice to have a bachelor degree in Computer Science, Technology or equivalent


· You'll be a critical member of a full-stack data engineering team focused on creating our data acquisition and management solution for supporting customer and partner data onboarding.

· Collaborate closely with your business and engineering team colleagues for acquiring, analyzing, mapping, and processing customer data

· Analyze data quality and mappings needed for processing different entities impacting large datasets

· Implement data integrations pipelines for addressing customers needs using different integrations technologies and tools

· Troubleshoot data acquisition processes and solutions and provide meaningful feedback for improving data acquisition, ingestion, validation, and persistence satisfying replay and data quality requirements

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