数据工程师负责人
Lead Data Engineer
BLEND360 是一家备受认可的、具有前瞻性的数据、数字营销与人工智能解决方案公司，致力于为我们的财富 500 强客户提供卓越成果。我们的发展轨迹是持续扩展，在前沿分析、数据能力、技术和数字营销卓越的交汇点上不断前行。
我们正在寻找一名高级数据工程师，以支持一个大规模医疗数据平台项目，重点在于现代化数据摄取、自动化和语义层功能，基于谷歌云平台（GCP）。该角色将在构建可扩展、可靠且面向业务的数据解决方案中发挥关键作用，从而支持整个组织的企业分析和报告。
理想的候选人具备扎实的工程实践经验，对云原生数据平台有深入理解，并在复杂的企业医疗环境中领导技术实施工作方面有丰富经验。
你将负责
· 设计、构建并优化支持企业医疗分析和报告用例的可扩展数据管道
· 领导数据摄取、转换、编排和操作监控流程中的自动化工作
· 开发并维护结构化和半结构化医疗数据源的摄取框架
· 在 GCP 和 BigQuery 中构建和扩展语义数据层，以支持一致、可信的业务报告和分析消费
· 设计可扩展的 ELT/ETL 工作流，利用现代云原生架构模式
· 与架构师、分析团队和业务利益相关者紧密合作，将数据需求转化为可扩展的技术解决方案
· 优化 BigQuery 的性能、分区和成本管理策略
· 实施测试、可观测性、可靠性和部署自动化方面的工程最佳实践
· 支持平台上的数据治理、数据质量和元数据管理计划
· 指导初级工程师，并在交付团队中提供技术领导力
所需技能
· 对谷歌云平台（GCP）有扎实的技能，特别是：
· BigQuery
· Cloud Storage
· Cloud Composer / 编排工具
· Dataflow 或现代数据摄取框架
- 有设计和构建可扩展数据摄取和管道自动化框架的经验
- 对语义层开发和维度建模概念有深刻理解
- 高级 SQL 和 Python 开发技能
- 有 ETL/ELT 流程的经验
查看英文原文
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
The Data Products Team builds and certifies the data products that power outage management and reliability reporting. The team owns the full data lifecycle, from raw source feeds to validated, stakeholder-ready outputs.
We’re looking for a hands-on Data Engineer to build and maintain ETL pipelines, implement data quality validations, and support the delivery of certified, versioned data products. You will work closely with the team and operational stakeholders to ensure data accuracy, reliability, and readiness for downstream reporting and business use.
Responsibilities
· Build and maintain scalable ETL pipelines using AWS Glue, Spark, and Athena to process modem telemetry, outage events, and customer impact data.
- Develop and manage daily data quality checks, including SQL validations, threshold-based alerts, and row-count monitoring.
- Investigate data anomalies such as nulls, duplicates, missing intervals, and unexpected data distributions, resolving issues before they affect downstream systems.
- Integrate data from multiple upstream systems, including AOM, IPDR, Scope, CARS, IRIS, and Gisual, to produce unified, validated datasets.
- Support data product certification by validating outputs and ensuring they meet established quality standards before stakeholder delivery.
- Coordinate versioned data product releases, including test case development, release notes, go/no-go decisions with end users, and patches through a structured release process.
- Document data validation methodologies, pipeline behavior, and release processes.
- Collaborate with data engineering teammates and BI and operational stakeholders throughout the data delivery lifecycle.
Qualifications
· Strong proficiency in SQL, including window functions (LAG, PARTITION BY), grouping sets, null handling, and Athena-specific query patterns.
- Experience with Python for scripting, automation, and data validation.
- Hands-on experience with AWS data services, particularly Glue, Athena, S3, EMR, and Step Functions.
- Experience using Spark for large-scale data processing, preferably on EMR.
- Strong understanding of data quality and the ability to investigate anomalies, identify root causes, and determine when data does not look correct.
- Experience validating data pipelines and ensuring data accuracy and consistency before downstream consumption.
- Strong written communication skills, with the ability to document technical methodologies and coordinate effectively with teammates and stakeholders.
Nice to Have
· Experience working with telecommunications or network operations data, including modem telemetry, outage records, or IPDR-style data feeds.
Our Perks and Benefits:
📚 Learning Opportunities:
· Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
🛫 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
· Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
· Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.