高级数据工程师
Senior Data Engineer
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、人工智能、技术和人才的力量，与客户共同创造有意义的影响。公司使命是激发大胆的愿景，通过无缝结合人类专业知识与人工智能，解决重大挑战。公司通过世界级的人才和数据驱动的战略，致力于为客户解锁价值并推动创新。我们相信，人与 AI 的力量可以对你的世界产生深远影响，为我们的员工和客户创造更加充实的工作和项目。更多信息，请访问 www.blend360.com
我们正在寻找一名高级数据工程师，以支持高影响力企业项目的数据显示、开发和优化。该职位适合在数据处理、转换和验证方面有丰富实践经验的人，擅长构建可靠且结构良好的数据集，用于分析和业务流程。
你将与跨职能团队紧密合作，确保数据准确、标准化，并准备好供下游使用，为可扩展且高质量的数据管道做出贡献。
你将负责哪些工作？
· 设计、开发和维护数据管道，从多个来源获取、转换和规范化数据。
· 领导 Snowflake 中数据采集架构的设计和实现，确保可扩展性和可靠性。
· 应用数据验证的最佳实践，确保数据集的准确性、一致性和可靠性。
· 执行数据转换和规范化，以支持分析和报告用例。
· 使用 SQL 和 Python 处理和分析大型数据集，提高效率。
· 通过实施验证规则、检查和监控流程，确保数据质量。
· 与业务和技术利益相关者合作，理解数据需求，并将其转化为可扩展的解决方案。
· 支持结构化和半结构化数据的 ETL 流程和文件处理工作流。
· 参与文档编写，并持续改进数据流程和标准。
我们寻找哪些人？
· 4 年以上数据工程或数据分析相关经验，具有强烈的工程背景。
· 精通 Snowflake（必须）。
· 精通 Python 用于数据处理和转换。
· 精通 SQL 并具备处理大规模数据集的经验。
· 有实际经验，能够独立完成复杂的数据工程任务。
· 具备良好的沟通能力和团队协作精神。
· 有在云平台（如 AWS、Azure 或 GCP）上部署和管理数据基础设施的经验。
· 对数据质量和数据治理有深刻理解。
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
We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role is ideal for someone with strong hands-on experience in data processing, transformation, and validation, who thrives in building reliable and well-structured datasets for analytics and business workflows.
You will work closely with cross-functional teams to ensure data is accurate, standardized, and ready for downstream consumption, contributing to scalable and high-quality data pipelines.
What will you be doing?
· Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
· Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
· Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
· Perform data transformation and normalization to support analytics and reporting use cases.
· Work with large datasets using SQL and Python to process and analyze data efficiently.
· Ensure data quality by implementing validation rules, checks, and monitoring processes.
· Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
· Support ETL processes and file handling workflows for structured and semi-structured data.
· Contribute to documentation and continuous improvement of data processes and standards.
What are we looking for?
· 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
· Strong hands-on experience with Snowflake (Must).
· Strong hands-on experience with Python for data processing and transformation.
· Strong experience with SQL and working with large-scale datasets.
· Proven experience in data validation, data transformation, and normalization.
· Experience building and maintaining ETL pipelines and handling data ingestion workflows.
· Strong attention to detail with a focus on data quality and reliability.
· Ability to work in cross-functional environments and communicate effectively with stakeholders.
Nice to have:
· Experience working with Salesforce data structures.
· Familiarity with Tamarac or similar RIA platforms.
· Experience with Compass or SharePoint integrations.
· Experience with file handling and ingestion processes (e.g., CSV, JSON, batch files).
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.