[8GT] Senior Data Engineer
我们是软件心灵，一个精彩的工程师团队，准备好升级任何顶尖公司项目的项目！我们的目标？总是在前进一步。成为不断增长的多元文化企业的一部分，拥有伟大的工作场所认证的优秀的工作环境！软件心脏正在寻找一名高级数据工程师加入我们客户之一的数据工程团队。这是一个实践角色，专注于建立和维护可扩展的数据管道，确保数据质量，以及支持整个组织中的分析和报告。主要责任 · 设计，开发和维护可扩展的安全 ETL/ELT 管道处理从多个来源结构化和非结构化的数据 · 构建和优化数据模型和处理工作流来支持 BI,分析和报告需求 · 开发监测和警报解决方案以确保管道性能和数据质量 · 在 Domo 中建立有洞察力的仪表板，报告和数据集 · 将外部 API 和第三方系统 （例如销售力量）的数据整合起来 · 与软件工程，建筑，产品，分析和 IT 团队合作 ·将业务要求转换成强大的技术解决方案 · 对工程团队成员进行代码审查和反。· 辅导其他数据工程师，并为安装工作做出贡献 · 参加包括站立，反和规划要求在内的敏捷仪式 · 5年以上开发和维护 ELT/ETL 系统的经验 · SQL 强大的熟练知识 高级查询，数据建模，存储程序，查询优化 ·使用 Snowflake 或 BigQuery 的实践经验 · Python 的熟练知识 · AWS 云原生服务 (Kinesis, Lambda, S3, SQS, CDK) 的经验 ·从各种来源构建和维护数据管道的经验 •强有力的分析思维，解决问题和调试技能 ·强有力的书面和口头英语沟通技巧 · · 舒适在快速，敏捷的环境中工作。• 在 Domo 创建数据集，数据流和仪表板中的经验。• 与 Salesforce 等 SaaS API 建立一体化经验。
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We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Software Mind is seeking a Senior Data Engineer to join the Data Engineering team of one of our clients. This is a hands-on role focused on building and maintaining scalable data pipelines, ensuring data quality, and supporting analytics and reporting across the organization.
Main Responsibilities
· Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources
· Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
· Develop monitoring and alerting solutions to ensure pipeline performance and data quality
· Build insightful dashboards, reports, and datasets in Domo
· Integrate data from external APIs and third-party systems (e.g., Salesforce)
· Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams
· Translate business requirements into robust technical solutions
· Conduct code reviews and provide feedback to engineering team members
· Mentor other data engineers and contribute to onboarding efforts
· Participate in Agile ceremonies including standups, retrospectives, and planning
Requirements
· 5+ years of experience developing and maintaining ELT/ETL systems
· Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization
· Hands-on experience with Snowflake or BigQuery
· Proficiency in Python
· Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
· Experience building and maintaining data pipelines from diverse sources
· Strong analytical thinking, problem-solving, and debugging skills
· Strong written and verbal English communication skills
· Comfortable working in a fast-paced, Agile environment
Nice to Have
· Experience creating datasets, dataflows, and dashboards in Domo
· Experience building integrations with SaaS APIs such as Salesforce
· AWS Data Analytics Certification or Snowflake Data Engineering Certification
· Experience with MongoDB or DynamoDB
We are accepting applications from LATAM countries
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