数据工程师 - Tieto 技术咨询（m/f/d）
Data Engineer - Tieto Tech Consulting (m/f/d)
作为全球技术组织Tieto的一部分，MentorMate通过将战略洞察与精心设计相结合，打造持久的技术解决方案，实现大规模的数字化转型。公司在企业级网络和移动开发、质量工程、技术架构、以用户为中心的设计、云、DevOps、数据和分析等领域拥有成熟且完善的实践方法，为员工提供参与有影响力、全球性项目的机遇，服务于知名品牌。
我们正在寻找一名具备Databricks和Azure经验的数据工程师加入我们不断壮大的数据工程团队。在此职位中，您将帮助设计和实现现代数据平台、可扩展的数据管道和分析解决方案，使组织能够做出更好的数据驱动决策。您将与数据架构师、BI开发者和客户利益相关者紧密合作，在敏捷环境中交付可靠且高质量的数据解决方案。
职责
- 使用Databricks、Spark/PySpark和SQL开发可扩展的ETL/ELT管道
- 设计和实现数据湖、湖仓架构和分析平台
- 从多个企业系统中集成数据
- 构建支持BI、高级分析和AI工作负载的分析就绪数据集
- 优化Spark工作负载、数据模型和管道性能
- 支持数据平台现代化和从传统ETL解决方案迁移
- 在敏捷团队中与架构师、分析师和客户利益相关者合作
- 贡献工程最佳实践、可重用模式和知识共享
要求
- 2–5年数据工程或类似岗位经验
- 具备Databricks和Apache Spark的实战经验
- 强大的SQL和Python/PySpark编程技能
- 具备Azure或AWS数据服务经验
- 具备构建ETL/ELT管道和数据集成解决方案的经验
- 理解数据湖、数据仓库和数据建模
- 具备Git和现代开发实践经验
- 能够在敏捷团队和咨询环境中工作
- 计算机科学或相关领域的学士学位，或同等经验
- 优秀的英语口语和书面表达能力
优势条件
- Databricks、Microsoft Azure或AWS认证
- 具备AI代理开发和架构经验，包括Databricks Agent Bricks和Mosaic AI
- 具备相关经验
查看英文原文
A part of global technology organization Tieto, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
We are looking for a Data Engineer with experience in Databricks and Azure to join our growing data engineering community. In this role, you will help design and implement modern data platforms, scalable data pipelines, and analytics solutions that enable organizations to make better data-driven decisions. You will work closely with data architects, BI developers, and customer stakeholders, working in an Agile environment to deliver reliable and high-quality data solutions.
Responsibilities
- Developing scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL
- Designing and implementing data lakes, lakehouse architectures, and analytics platforms
- Integrating data from multiple enterprise systems
- Building analytics-ready datasets supporting BI, advanced analytics, and AI workloads
- Optimizing Spark workloads, data models, and pipeline performance
- Supporting data platform modernization and migration from legacy ETL solutions
- Working in Agile teams with architects, analysts, and customer stakeholders
- Contributing to engineering best practices, reusable patterns, and knowledge sharing
Requirements
- 2–5 years of experience in Data Engineering or similar roles
- Hands-on experience with Databricks and Apache Spark
- Strong programming skills in SQL and Python/PySpark
- Experience with Azure or AWS data services
- Experience building ETL/ELT pipelines and data integration solutions
- Understanding of data lakes, data warehouses, and data modeling
- Experience with Git and modern development practices
- Ability to work in Agile teams and a consulting environment
- Bachelor’s degree in Computer Science or similar field, or equivalent experience
- Excellent spoken and written English language skills
A significant advantage would be
- Certifications in Databricks, Microsoft Azure, or AWS
- Experience in AI agent development and architecture, including Databricks Agent Bricks and Mosaic AI
- Experience with data platform modernization or ETL migration projects
- Experience with Delta Lake, Snowflake, or Microsoft Fabric
- Experience with Power BI or other analytics tools
- Experience working in international environments
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion (tietoevry.com)
Originally posted on Himalayas