Data Engineer

🔥 2 minutes ago

🌐 Brazil, Argentina, +2 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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Logo of In All Media

In All Media

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Develop, optimize, and maintain secure HR data pipelines using dbt, PySpark, Python, and Apache Airflow • Ingest HR data from REST APIs, real-time streams, Google Sheets, web APIs, and external platforms • Provision, configure, and maintain scalable extraction, transformation, and loading infrastructure using Terraform, AWS Glue, AWS EMR, and AWS S3 • Design and maintain data models, data marts, and warehouse structures in Snowflake and Google BigQuery • Build semantic views and ontology layers mapping CORE → SEMANTIC → METRICS on dbt models • Configure and deploy generative AI query agents using Snowflake Cortex Analyst and Cortex Search • Maintain MCP connections between Snowflake and internal AI tools • Monitor pipelines to enforce 99.5% uptime • Build automated tests within a Data Quality Framework • Ensure secure handling of PII and produce comprehensive technical documentation • Support workforce analytics for international enterprise Centers of Excellence and executive leadership

🎯 Requirements

• 5+ years of dedicated, hands-on data engineering experience • Deep expertise in Snowflake, Google BigQuery, and dbt • Strong object-oriented Python scripting capabilities • Hands-on experience with REST API integrations and real-time data ingestion • Proficiency in Apache Airflow • Advanced, highly optimized SQL writing skills • Experience securely handling large-scale sensitive data (PII) • Comprehensive technical documentation skills • Experience working in Agile teams and remote, distributed environments • Advanced/Fluent English communication skills • Minimum 4 core working hours of overlap with US Eastern Standard Time • Nice-to-have: semantic modeling, Snowflake Cortex, Cortex Analyst, Cortex Search, MCP, equivalent LLM query frameworks, prompt engineering, and context engineering

🏖️ Benefits

• Remote work from LATAM • Full-time vendor contract • Time zone flexibility with EST overlap • Distributed-team work environment • Long-term technical expertise and product innovation projects

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