Role Description As a Senior Data Engineer , you will play a critical role in designing, building, and maintaining the data infrastructure that powers analytics solutions across a variety of enterprise client environments. This role combines modern data engineering practices with strong database and data quality fundamentals. - Build scalable ETL/ELT pipelines. - Design robust data models. - Integrate data from diverse platforms. - Ensure reliable, well-documented data foundations. - Work primarily within Microsoft Fabric environments. - Collaborate closely with analytics, engineering, and client stakeholders. Qualifications - 8+ years of professional experience in Data Engineering, Backend Platform Engineering, or large-scale data infrastructure. - 3+ years of experience in client-facing or consulting-focused data engineering environments. - Advanced SQL expertise, including schema design, query optimization, complex views, CTEs, window functions, deduplication strategies, and data modeling. - Strong Python experience for ETL development, automation, PySpark, and data processing workflows. - Hands-on experience building and maintaining enterprise-scale ETL/ELT pipelines in production environments. - Experience integrating data from REST APIs, GraphQL endpoints, and webhook-based systems. - Strong understanding of data quality practices, validation processes, anomaly detection, and data governance. - Experience working across multiple concurrent client engagements with varying levels of data maturity. - Excellent documentation and communication skills, including data dictionaries, lineage documentation, and technical handoffs. - Strong ownership mindset and the ability to operate independently in fast-paced environments. Requirements - Design, build, and maintain ETL/ELT pipelines for enterprise data ingestion and transformation across multiple client environments. - Develop and maintain SQL views, schemas, and transformation logic that serve as the foundation for Power BI and other analytics solutions. - Profile source data before development begins, identifying data quality issues, anomalies, duplicates, null values, and integrity concerns. - Produce and maintain comprehensive data dictionaries, lineage documentation, and transformation documentation for every engagement. - Build and manage data pipelines primarily within Microsoft Fabric while supporting Databricks and other client-specific environments as needed. - Integrate data from REST APIs, GraphQL endpoints, and webhook-based sources, implementing authentication, pagination, rate-limiting, and error handling. - Implement monitoring, alerting, and refresh processes to proactively identify and resolve pipeline failures. - Validate data integrity throughout development to ensure reliable and accurate downstream analytics. - Translate client business requirements into scalable technical data models while identifying limitations and gaps within source systems. - Collaborate closely with visualization developers to ensure the data layer supports reporting and analytics requirements. - Create and maintain clear handoff documentation, architecture documentation, and operational runbooks. - Mentor junior engineers and contribute to engineering best practices, documentation standards, and delivery excellence. - Participate in engagement planning, solution design, and project execution from kickoff through delivery. Benefits - Remote work opportunity. - Pay Range: $70 — $70 USD. Company Description EVOCS’s journey began with a mission to empower businesses with advisory expertise, empowered with ideal technologies to provide them with comprehensive solutions to grow and prosper. Founded by a team of passionate experts, EVOCS has grown into a trusted partner to a growing number of leaders across their respective industries. - Customer-centric Solutions - Innovation & Excellence - Integrity & Transparency - Data-driven Decision Making

Role Description This role requires a unique blend of technical expertise, analytical skills, strong communication abilities, and a solid understanding of business principles. The ideal candidate will be a problem-solver who can contribute to both technical projects and strategic decision-making. The ideal candidate will be able to work independently as well as on a team, a proven communicator who effectively interfaces between technical and business teams. What you'll do... - Technical Engineering & Problem Solving: - Apply engineering principles and methodologies to solve complex technical challenges. - Troubleshoot technical issues and develop effective solutions in a timely manner. - Stay up to date with the latest advancements in relevant technologies. - Data Analysis & Reporting: - Collect, analyze, and interpret large datasets using Excel and other analytical tools. - Develop and maintain insightful reports and dashboards to track key performance indicators (KPIs) and identify trends. - Use data-driven insights to make recommendations for process improvements, cost reduction, and efficiency gains. - Communication & Collaboration: - Communicate technical information clearly and effectively to both technical and non-technical audiences. - Collaborate with cross-functional teams (e.g., sales, marketing, operations) to achieve common goals. - Present technical findings and recommendations to management in a concise and persuasive manner. - Act as a technical resource and mentor to junior engineers. - Business Acumen & Strategy: - Understand the business implications of engineering decisions and contribute to strategic planning. - Identify opportunities to leverage technology to improve business processes and gain a competitive advantage. - Participate in cost-benefit analyses and ROI calculations for engineering projects. - Stay informed about industry trends and market dynamics. - Project Management: - Develop project plans, track progress, and identify and mitigate risks. - Coordinate resources and communicate effectively with stakeholders. Qualifications - Bachelor's Degree in Engineering, Business or Finance. - 2+ years of experience with: - Engineering principles and methodologies. - Working with large datasets using Excel and other analytical tools. - Developing and maintaining reports and dashboards to track key performance indicators (KPIs) and identify trends. - Collaborating with cross-functional teams. - Presenting to management. - Developing project plans, tracking progress, and identifying and mitigating risks. Benefits - Immediate medical, dental, vision and prescription drug coverage. - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. - Vehicle discount program for employees and family members and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. - Paid time off and the option to purchase additional vacation time. Company Description This position is a salary grade 7 and ranges from $86,600-$144,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Role Description Estamos com uma vaga aberta para Engenheiro de Dados Pleno com Foco em GCP, que irá atuar dentro do nosso time de Delivery Team, direcionado especificamente para atender um projeto, auxiliando na tratativa da base de dados dos nossos clientes, sendo responsável por: - Atuar em projetos de Data Lakes e Data Warehouses, em um ambiente orientado a dados (data-driven); - Desenvolver e manter soluções utilizando Python; - Trabalhar com bancos de dados relacionais e não relacionais (ex.: MySQL, PostgreSQL, DynamoDB, MongoDB); - Realizar processamento e análise de Big Data (ex.: Spark, Hadoop, BigQuery, ElasticSearch); - Escrever e otimizar consultas em SQL (DDL, DML e DTL); - Desenvolver e manter pipelines de dados utilizando ferramentas como Airflow, Databricks ou Data Factory; - Documentar arquiteturas e pipelines de dados de forma clara e organizada. Qualifications - Formação em Ciência da Computação, Engenharia da Computação, Sistemas de Informação ou áreas correlatas; - Experiência com plataformas de cloud, como Google Cloud (BigQuery, Cloud Storage, DataStream, Cloud Functions) ou equivalentes em AWS/Azure; - Experiência na criação e manutenção de pipelines de dados; - Experiência com modelagem de dados dimensional e multidimensional; - Experiência na construção de processos de ETL; - Conhecimento em otimização de performance de consultas; - Experiência em tratamento, limpeza e padronização de dados; - Certificações na área de dados serão consideradas um diferencial. Requirements Modelo de trabalho: remoto, sem alocação fixa nas unidades da empresa, com disponibilidade para viagens e visitas presenciais a clientes, quando necessário. Benefits - 🍱 Auxílio Refeição/Alimentação; - 🚌 Auxílio Transporte; - 🏥 Plano de Saúde; - 🦷 Plano Odontológico; - 💻 Auxílio Home-Office; - 🏋️ Wellhub; - ❤️ Seguro de Vida; - 👶 Auxílio Creche/Babá; - 🥳 Happy Day no mês do seu aniversário; - 📚 Parcerias com instituições educacionais, tanto de idiomas quanto acadêmicas.

• Diseñar e implementar pipelines de datos robustos que soporten casos de uso de IA generativa y agentes inteligentes. • Desarrollar servicios y arquitecturas de datos para integrar LLMs, copilots y asistentes en procesos de negocio. • Construir y mantener soluciones en entornos cloud (principalmente Azure) asegurando escalabilidad y rendimiento. • Integrar APIs, microservicios y sistemas distribuidos para habilitar flujos de datos complejos. • Colaborar con equipos de Data, IA y desarrollo para optimizar el uso de frameworks de agentes (LangGraph, ADK u otros). • Garantizar buenas prácticas en calidad de datos, versionado y despliegue continuo de pipelines.