Senior Data & Platform Engineer – Veterinary Technology

🕒 Junho 29

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 61%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Truelogic Software

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2004

☁️ SaaS

🤝 B2B

🏢 Corporativo

SaaS • B2B • Enterprise

Truelogic Software é uma empresa de desenvolvimento de software nearshore especializada em serviços de staff augmentation ágil. Focamos em oferecer desenvolvimento de software sob medida terceirizado, com uma equipe de engenheiros altamente qualificados da América Latina. A Truelogic Software faz parceria tanto com startups quanto com empresas da Fortune 500, oferecendo soluções alinhadas aos fusos horários de seus clientes e garantindo resultados de alta qualidade por meio de colaboração e agilidade na resposta. Com presença em mais de 25 países, a Truelogic valoriza o trabalho remoto para uma melhor qualidade de vida, e seus engenheiros têm experiência em diversos setores, entregando uma ampla variedade de projetos bem-sucedidos globalmente.

Descrição

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability. • Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads. • Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance. • Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation. • Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests. • Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform. • Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. • Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations. • Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes. • Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog. • Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds. • Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products. • Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

🎯 Requisitos

• 5+ years of experience in data engineering or a combined data and infrastructure role, with a proven track record of building production-grade data platforms from the ground up. • Deep expertise in Snowflake, including schema design, performance tuning, access control, and advanced cost optimization. • Strong, hands-on experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging). • Advanced proficiency in SQL and solid programming skills in Python for ETL and automation. • Working knowledge of Kubernetes, with the ability to deploy workloads, read pod logs, and manage Helm charts independently. • Extensive experience using Terraform for infrastructure provisioning, specifically for managing data platform components. • Hands-on experience with Datadog for observability, monitoring, and SLA visibility. • Familiarity with AWS data-adjacent services like RDS and S3. • Fluency in utilizing AI-based development assistants to write, review, and debug code efficiently. • Prior experience with Amazon Redshift is a plus. • Familiarity with streaming infrastructure (Kafka, Flink) or open table formats (Iceberg, Delta Lake) is highly preferred. • Experience with Elixir or Erlang is advantageous. • Knowledge of data quality, cataloging, or lineage tooling (e.g., Great Expectations, Soda, Monte Carlo, DataHub, OpenMetadata) is a strong plus. • Hands-on experience with Debezium or comparable CDC tooling, particularly in production deployments, is a strong bonus. • Experience managing EKS Spot instances at scale is a plus. • Background in healthcare, veterinary medicine, or similarly regulated domains requiring strict data accuracy and auditability is preferred.

🏖️ Benefícios

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.