Data Engineer

Vaga não está no LinkedIn

🕒 Agosto 21

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 16%

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KIS Solutions

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2012

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

KIS Solutions é uma consultoria de tecnologia com presença nos Estados Unidos e no Brasil, especializada em entregar sistemas de software que resolvem problemas de negócios complexos. Com foco em melhorar a experiência das pessoas por meio da tecnologia, a KIS fornece soluções tecnológicas sob medida para empresas de todos os portes, de companhias Fortune 500 a startups. A empresa utiliza gestão de dados, machine learning e design centrado no usuário para criar sistemas eficazes e eficientes que elevam a produtividade e o valor para o negócio.

Descrição

• Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery • Develop and operate reliable, scalable, and high-performing ETL/ELT workflows • Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases • Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting • Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic • Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services • Ensure data quality through automated schema validation, freshness checks, and row-level assertions • Collaborate with analysts, backend engineers, and stakeholders to define data contracts and ensure reliable data availability • Participate in planning, estimation, and prioritization of data engineering tasks • Identify risks related to performance, scalability, and data integrity and propose mitigation strategies • Contribute to continuous improvement of data platforms, engineering processes, and team best practices • Write and maintain technical documentation for data pipelines, schemas, and data lineage • Communicate clearly with team members and clients, raising questions and concerns when requirements or priorities are unclear

🎯 Requisitos

• Professional experience as a Data Engineer working with production-grade data pipelines • Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs • Professional experience writing Python for data transformations, following good software design and modularization practices • Experience designing and implementing data models for analytics and reporting use cases • Experience building and operating data pipelines using cloud-based data platforms • Hands-on experience with GCP and BigQuery • Experience operating data pipelines, including error handling, monitoring, troubleshooting, and data quality processes • Knowledge of fundamental data security and governance practices, including access control, data masking, and PII handling • Ability to deliver less complex tasks independently and handle more complex challenges with appropriate guidance • Strong sense of ownership, responsibility, and accountability for data workflows and deliverables • Good organizational and time management skills, with the ability to estimate effort and meet delivery deadlines • Advanced English level for effective collaboration with global clients and distributed teams • Team-oriented mindset with strong communication, collaboration, and problem-solving skills

🏖️ Benefícios

• 100% remote work