Data Engineer

🕒 Junho 3

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Anteriad

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🤝 B2B

B2B • Marketing • Data Services

Anteriad é uma empresa especializada em soluções de dados e serviços de marketing B2B. Oferece uma ampla gama de serviços para aprimorar estratégias de marketing, incluindo Identificação e Ativação de Audiência, Geração de Demanda, BDR e SDR-como-Serviço, e Análises e Inteligência. A Anteriad Marketing Cloud fornece uma plataforma para publicidade programática e distribuição de conteúdo, ajudando empresas a otimizar seus esforços de marketing multicanal. Certificada como uma fornecedora de dados de destaque, as soluções de dados da Anteriad visam impulsionar a aquisição de clientes, melhorar o ROI e apoiar estratégias de marketing baseadas em IA. É reconhecida pela alta qualidade e transparência dos dados, atendendo clientes globais que buscam aprimorar sua eficácia de marketing com insights e estratégias orientadas por dados.

Descrição

• Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions. • Design, develop, and maintain data integration solutions using Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, and related Azure services. • Build, manage, and optimize ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Pipelines, including pipeline orchestration, parameterization, scheduling, monitoring, and error handling. • Develop and maintain data transformation logic using Azure Databricks notebooks and Microsoft Fabric notebooks, with a focus on performance, scalability, reusability, and operational reliability. • Design and implement data ingestion, transformation, validation, and delivery processes across structured, semi-structured, and external data sources. • Develop and optimize data integration processes utilizing Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, Microsoft Fabric Lakehouses, Warehouses, Pipelines, and Notebooks. • Build and maintain SQL-based data models, stored procedures, views, automation scripts, and database objects to support operational and analytical workloads. • Support the modernization and migration of legacy data integration processes from SSIS and on-premises platforms to cloud-based Azure and Microsoft Fabric architectures. • Design and implement reusable pipeline patterns, data quality checks, validation controls, logging, alerting, and performance monitoring processes. • Support new client onboarding efforts by designing and implementing reliable data ingestion, transformation, reconciliation, and validation workflows. • Troubleshoot and resolve data pipeline, data quality, performance, and integration issues in collaboration with teams across Intelligence & Analytics. • Design, develop, and maintain datasets, semantic models, and data structures that support reporting, analytics, and visualization solutions across Power BI, Excel, Microsoft Fabric, and other business intelligence platforms. • Contribute to data engineering standards, documentation, best practices, and reusable frameworks that improve scalability, maintainability, and operational efficiency. • Research, evaluate, and recommend emerging technologies and platform capabilities that improve data architecture, automation, performance, and reliability.

🎯 Requisitos

• 3+ years of experience in data engineering, data integration, business intelligence engineering, or a related technical role. • 3+ years of experience writing, optimizing, and troubleshooting SQL, including T-SQL, stored procedures, views, indexing strategies, and query performance tuning. • Hands-on experience designing, building, and supporting ETL/ELT pipelines using Azure Data Factory and/or Microsoft Fabric Pipelines. • Hands-on experience developing data processing and transformation logic using Azure Databricks notebooks, Microsoft Fabric notebooks, PySpark, Spark SQL, Python, or similar technologies. • Strong Microsoft SQL Server and relational database design principles skills. • Experience with Azure data platform services such as Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, and related cloud data services. • Strong knowledge and in depth work with Microsoft Fabric components such as Pipelines, Notebooks, Lakehouses, Warehouses, Dataflows, and semantic models. • Experience building reliable data ingestion and transformation processes from APIs, flat files, databases, web services, cloud storage, and other external data sources. • Hands on experience implementing data validation, reconciliation, monitoring, logging, and alerting processes for production data pipelines. • Experience supporting production data workloads, including troubleshooting failures, optimizing performance, and improving pipeline reliability. • Prior experience modernizing or migrating legacy ETL processes from SSIS, SQL Server, or on-premises environments to Azure or Microsoft Fabric is strongly preferred. • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, a related field, or equivalent professional experience. • Power BI, semantic models, or other data visualization and analytics tools experience is a plus. • Experience with Customer Data Platforms, CDPs, database marketing, marketing analytics, or client data onboarding environments is a plus. • Working knowledge with AWS or Google Cloud Platform is a plus. • Strong analytical, problem-solving, and critical thinking skills. • Excellent verbal and written communication skills, with the ability to explain technical concepts to both technical and non-technical audiences. • Ability to work independently on moderately complex data engineering tasks while collaborating effectively in a team-oriented environment.

🏖️ Benefícios

• Comprehensive medical (choice of 3 plans), dental and vision coverage • Company paid short-term disability, long term disability, and life insurance • Optional supplemental life, accident, and critical illness insurance plans • 401K with company match • Flexible PTO and generous holiday schedule • Fully paid primary caregiver leave (12 weeks) & parental bonding leave (2 weeks)